Cleanup gh-pages branch

Signed-off-by: Dimitris Karakasilis <dimitris@spectrocloud.com>
2024-12-18 20:27:57 +00:00 · 2023-04-26 11:55:04 +03:00 · 2023-04-26 11:55:04 +03:00 · eb137c8a84
commit eb137c8a84
parent 4e2061636e
25 changed files with 0 additions and 1875 deletions
--- a/13
+++ b/13
@ -1,13 +0,0 @@
-ARG GO_VERSION=1.20
-ARG DEBIAN_VERSION=11
-ARG BUILD_TYPE=
-
-FROM golang:$GO_VERSION as builder
-WORKDIR /build
-RUN apt-get update && apt-get install -y cmake
-COPY . .
-RUN make build
-
-FROM debian:$DEBIAN_VERSION
-COPY --from=builder /build/local-ai /usr/bin/local-ai
-ENTRYPOINT [ "/usr/bin/local-ai" ]
--- a/5
+++ b/5
@ -1,5 +0,0 @@
-VERSION 0.7
-
-build:
-    FROM DOCKERFILE -f Dockerfile .
-    SAVE ARTIFACT /usr/bin/local-ai AS LOCAL local-ai
--- a/21
+++ b/21
@ -1,21 +0,0 @@
-MIT License
-
-Copyright (c) 2023 go-skynet authors
-
-Permission is hereby granted, free of charge, to any person obtaining a copy
-of this software and associated documentation files (the "Software"), to deal
-in the Software without restriction, including without limitation the rights
-to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-copies of the Software, and to permit persons to whom the Software is
-furnished to do so, subject to the following conditions:
-
-The above copyright notice and this permission notice shall be included in all
-copies or substantial portions of the Software.
-
-THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-SOFTWARE.
--- a/119
+++ b/119
@ -1,119 +0,0 @@
-GOCMD=go
-GOTEST=$(GOCMD) test
-GOVET=$(GOCMD) vet
-BINARY_NAME=local-ai
-# renovate: datasource=github-tags depName=go-skynet/go-llama.cpp
-GOLLAMA_VERSION?=llama.cpp-25d7abb
-# renovate: datasource=git-refs packageNameTemplate=https://github.com/go-skynet/go-gpt4all-j.cpp currentValueTemplate=master depNameTemplate=go-gpt4all-j.cpp
-GOGPT4ALLJ_VERSION?=1f7bff57f66cb7062e40d0ac3abd2217815e5109
-# renovate: datasource=git-refs packageNameTemplate=https://github.com/go-skynet/go-gpt2.cpp currentValueTemplate=master depNameTemplate=go-gpt2.cpp
-GOGPT2_VERSION?=245a5bfe6708ab80dc5c733dcdbfbe3cfd2acdaa
-
-GREEN  := $(shell tput -Txterm setaf 2)
-YELLOW := $(shell tput -Txterm setaf 3)
-WHITE  := $(shell tput -Txterm setaf 7)
-CYAN   := $(shell tput -Txterm setaf 6)
-RESET  := $(shell tput -Txterm sgr0)
-
-C_INCLUDE_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2
-LIBRARY_PATH=$(shell pwd)/go-llama:$(shell pwd)/go-gpt4all-j:$(shell pwd)/go-gpt2
-
-# Use this if you want to set the default behavior
-ifndef BUILD_TYPE
-	BUILD_TYPE:=default
-endif
-
-ifeq ($(BUILD_TYPE), "generic")
-	GENERIC_PREFIX:=generic-
-else
-	GENERIC_PREFIX:=
-endif
-
-.PHONY: all test build vendor
-
-all: help
-
-## Build:
-
-build: prepare ## Build the project
-	$(info ${GREEN}I local-ai build info:${RESET})
-	$(info ${GREEN}I BUILD_TYPE: ${YELLOW}$(BUILD_TYPE)${RESET})
-	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) build -o $(BINARY_NAME) ./
-
-generic-build: ## Build the project using generic
-	BUILD_TYPE="generic" $(MAKE) build
-
-## GPT4ALL-J
-go-gpt4all-j:
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt4all-j.cpp go-gpt4all-j
-	cd go-gpt4all-j && git checkout -b build $(GOGPT4ALLJ_VERSION)
-	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./go-gpt4all-j -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gptj_/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/void replace/void json_gptj_replace/g' {} +
-	@find ./go-gpt4all-j -type f -name "*.cpp" -exec sed -i'' -e 's/::replace/::json_gptj_replace/g' {} +
-
-go-gpt4all-j/libgptj.a: go-gpt4all-j
-	$(MAKE) -C go-gpt4all-j $(GENERIC_PREFIX)libgptj.a
-
-# CEREBRAS GPT
-go-gpt2:
-	git clone --recurse-submodules https://github.com/go-skynet/go-gpt2.cpp go-gpt2
-	cd go-gpt2 && git checkout -b build $(GOGPT2_VERSION)
-	# This is hackish, but needed as both go-llama and go-gpt4allj have their own version of ggml..
-	@find ./go-gpt2 -type f -name "*.c" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/ggml_/ggml_gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.h" -exec sed -i'' -e 's/gpt_/gpt2_/g' {} +
-	@find ./go-gpt2 -type f -name "*.cpp" -exec sed -i'' -e 's/json_/json_gpt2_/g' {} +
-
-go-gpt2/libgpt2.a: go-gpt2
-	$(MAKE) -C go-gpt2 $(GENERIC_PREFIX)libgpt2.a
-	
-
-go-llama:
-	git clone -b $(GOLLAMA_VERSION) --recurse-submodules https://github.com/go-skynet/go-llama.cpp go-llama
-
-go-llama/libbinding.a: go-llama
-	$(MAKE) -C go-llama $(GENERIC_PREFIX)libbinding.a
-
-replace:
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-llama.cpp=$(shell pwd)/go-llama
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt4all-j.cpp=$(shell pwd)/go-gpt4all-j
-	$(GOCMD) mod edit -replace github.com/go-skynet/go-gpt2.cpp=$(shell pwd)/go-gpt2
-
-prepare: go-llama/libbinding.a go-gpt4all-j/libgptj.a go-gpt2/libgpt2.a replace
-
-clean: ## Remove build related file
-	rm -fr ./go-llama
-	rm -rf ./go-gpt4all-j
-	rm -rf ./go-gpt2
-	rm -rf $(BINARY_NAME)
-
-## Run:
-run: prepare
-	C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} $(GOCMD) run ./main.go
-
-test-models/testmodel:
-	mkdir test-models
-	wget https://huggingface.co/concedo/cerebras-111M-ggml/resolve/main/cerberas-111m-q4_0.bin -O test-models/testmodel
-
-test: prepare test-models/testmodel
-	@C_INCLUDE_PATH=${C_INCLUDE_PATH} LIBRARY_PATH=${LIBRARY_PATH} MODELS_PATH=$(abspath ./)/test-models $(GOCMD) test -v ./...
-
-## Help:
-help: ## Show this help.
-	@echo ''
-	@echo 'Usage:'
-	@echo '  ${YELLOW}make${RESET} ${GREEN}<target>${RESET}'
-	@echo ''
-	@echo 'Targets:'
-	@awk 'BEGIN {FS = ":.*?## "} { \
-		if (/^[a-zA-Z_-]+:.*?##.*$$/) {printf "    ${YELLOW}%-20s${GREEN}%s${RESET}\n", $$1, $$2} \
-		else if (/^## .*$$/) {printf "  ${CYAN}%s${RESET}\n", substr($$1,4)} \
-		}' $(MAKEFILE_LIST)
--- a/README.md
+++ b/README.md
@ -1,358 +0,0 @@
-<h1 align="center">
-  <br>
-  <img height="300" src="https://user-images.githubusercontent.com/2420543/233147843-88697415-6dbf-4368-a862-ab217f9f7342.jpeg"> <br>
-    LocalAI
-<br>
-</h1>
-
-> :warning: This project has been renamed from `llama-cli` to `LocalAI` to reflect the fact that we are focusing on a fast drop-in OpenAI API rather on the CLI interface. We think that there are already many projects that can be used as a CLI interface already, for instance  [llama.cpp](https://github.com/ggerganov/llama.cpp) and [gpt4all](https://github.com/nomic-ai/gpt4all). If you are were using `llama-cli` for CLI interactions and want to keep using it, use older versions or please open up an issue - contributions are welcome!
-
-
-[![tests](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/test.yml) [![build container images](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml/badge.svg)](https://github.com/go-skynet/LocalAI/actions/workflows/image.yml)
-
-[![](https://dcbadge.vercel.app/api/server/uJAeKSAGDy?style=flat-square&theme=default-inverted)](https://discord.gg/uJAeKSAGDy) 
-
-**LocalAI** is a straightforward, drop-in replacement API compatible with OpenAI for local CPU inferencing, based on [llama.cpp](https://github.com/ggerganov/llama.cpp), [gpt4all](https://github.com/nomic-ai/gpt4all) and [ggml](https://github.com/ggerganov/ggml), including support GPT4ALL-J which is Apache 2.0 Licensed and can be used for commercial purposes.
-
- OpenAI compatible API
- Supports multiple-models
- Once loaded the first time, it keep models loaded in memory for faster inference
- Support for prompt templates
- Doesn't shell-out, but uses C bindings for a faster inference and better performance. Uses [go-llama.cpp](https://github.com/go-skynet/go-llama.cpp) and [go-gpt4all-j.cpp](https://github.com/go-skynet/go-gpt4all-j.cpp).
-
-Reddit post: https://www.reddit.com/r/selfhosted/comments/12w4p2f/localai_openai_compatible_api_to_run_llm_models/
-
-## Model compatibility
-
-It is compatible with the models supported by [llama.cpp](https://github.com/ggerganov/llama.cpp) supports also [GPT4ALL-J](https://github.com/nomic-ai/gpt4all) and [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml).
-
-Tested with:
- Vicuna
- Alpaca
- [GPT4ALL](https://github.com/nomic-ai/gpt4all)
- [GPT4ALL-J](https://gpt4all.io/models/ggml-gpt4all-j.bin)
- Koala
- [cerebras-GPT with ggml](https://huggingface.co/lxe/Cerebras-GPT-2.7B-Alpaca-SP-ggml)
-
-It should also be compatible with StableLM and GPTNeoX ggml models (untested)
-
-Note: You might need to convert older models to the new format, see [here](https://github.com/ggerganov/llama.cpp#using-gpt4all) for instance to run `gpt4all`.
-
-## Usage
-
-> `LocalAI` comes by default as a container image. You can check out all the available images with corresponding tags [here](https://quay.io/repository/go-skynet/local-ai?tab=tags&tag=latest).
-
-The easiest way to run LocalAI is by using `docker-compose`:
-
-```bash
-
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI
-
-# copy your models to models/
-cp your-model.bin models/
-
-# (optional) Edit the .env file to set things like context size and threads
-# vim .env
-
-# start with docker-compose
-docker-compose up -d --build
-
-# Now API is accessible at localhost:8080
-curl http://localhost:8080/v1/models
-# {"object":"list","data":[{"id":"your-model.bin","object":"model"}]}
-
-curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
-     "model": "your-model.bin",            
-     "prompt": "A long time ago in a galaxy far, far away",
-     "temperature": 0.7
-   }'
-```
-
-### Example: Use GPT4ALL-J model
-
-<details>
-
-```bash
-# Clone LocalAI
-git clone https://github.com/go-skynet/LocalAI
-
-cd LocalAI
-
-# Download gpt4all-j to models/
-wget https://gpt4all.io/models/ggml-gpt4all-j.bin -O models/ggml-gpt4all-j
-
-# Use a template from the examples
-cp -rf prompt-templates/ggml-gpt4all-j.tmpl models/
-
-# (optional) Edit the .env file to set things like context size and threads
-# vim .env
-
-# start with docker-compose
-docker-compose up -d --build
-
-# Now API is accessible at localhost:8080
-curl http://localhost:8080/v1/models
-# {"object":"list","data":[{"id":"ggml-gpt4all-j","object":"model"}]}
-
-curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-     "model": "ggml-gpt4all-j",
-     "messages": [{"role": "user", "content": "How are you?"}],
-     "temperature": 0.9 
-   }'
-
-# {"model":"ggml-gpt4all-j","choices":[{"message":{"role":"assistant","content":"I'm doing well, thanks. How about you?"}}]}
-```
-</details>
-
-## Prompt templates 
-
-The API doesn't inject a default prompt for talking to the model. You have to use a prompt similar to what's described in the standford-alpaca docs: https://github.com/tatsu-lab/stanford_alpaca#data-release.
-
-<details>
-You can use a default template for every model present in your model path, by creating a corresponding file with the `.tmpl` suffix next to your model. For instance, if the model is called `foo.bin`, you can create a sibiling file, `foo.bin.tmpl` which will be used as a default prompt, for instance this can be used with alpaca:
-
-```
-Below is an instruction that describes a task. Write a response that appropriately completes the request.
-
-### Instruction:
-{{.Input}}
-
-### Response:
-```
-
-See the [prompt-templates](https://github.com/go-skynet/LocalAI/tree/master/prompt-templates) directory in this repository for templates for most popular models.
-
-</details>
-
-## API
-
-`LocalAI` provides an API for running text generation as a service, that follows the OpenAI reference and can be used as a drop-in. The models once loaded the first time will be kept in memory.
-
-<details>
-Example of starting the API with `docker`:
-
-```bash
-docker run -p 8080:8080 -ti --rm quay.io/go-skynet/local-ai:latest --models-path /path/to/models --context-size 700 --threads 4
-```
-
-And you'll see:
-```
-┌───────────────────────────────────────────────────┐ 
-│                   Fiber v2.42.0                   │ 
-│               http://127.0.0.1:8080               │ 
-│       (bound on host 0.0.0.0 and port 8080)       │ 
-│                                                   │ 
-│ Handlers ............. 1  Processes ........... 1 │ 
-│ Prefork ....... Disabled  PID ................. 1 │ 
-└───────────────────────────────────────────────────┘ 
-```
-
-You can control the API server options with command line arguments:
-
-```
-local-api --models-path <model_path> [--address <address>] [--threads <num_threads>]
-```
-
-The API takes takes the following parameters:
-
-| Parameter    | Environment Variable | Default Value | Description                            |
-| ------------ | -------------------- | ------------- | -------------------------------------- |
-| models-path        | MODELS_PATH           |               | The path where you have models (ending with `.bin`).      |
-| threads      | THREADS              | Number of Physical cores     | The number of threads to use for text generation. |
-| address      | ADDRESS              | :8080         | The address and port to listen on. |
-| context-size | CONTEXT_SIZE         | 512           | Default token context size. |
-| debug | DEBUG         | false           | Enable debug mode. |
-
-Once the server is running, you can start making requests to it using HTTP, using the OpenAI API. 
-
-</details>
-
-### Supported OpenAI API endpoints
-
-You can check out the [OpenAI API reference](https://platform.openai.com/docs/api-reference/chat/create). 
-
-Following the list of endpoints/parameters supported. 
-
-Note:
-
- You can also specify the model a part of the OpenAI token.
- If only one model is available, the API will use it for all the requests.
-
-#### Chat completions
-
-<details>
-For example, to generate a chat completion, you can send a POST request to the `/v1/chat/completions` endpoint with the instruction as the request body:
-
-```
-curl http://localhost:8080/v1/chat/completions -H "Content-Type: application/json" -d '{
-     "model": "ggml-koala-7b-model-q4_0-r2.bin",
-     "messages": [{"role": "user", "content": "Say this is a test!"}],
-     "temperature": 0.7
-   }'
-```
-
-Available additional parameters: `top_p`, `top_k`, `max_tokens`
-</details>
-
-#### Completions
-
-<details>
-For example, to generate a completion, you can send a POST request to the `/v1/completions` endpoint with the instruction as the request body:
-```
-curl http://localhost:8080/v1/completions -H "Content-Type: application/json" -d '{
-     "model": "ggml-koala-7b-model-q4_0-r2.bin",
-     "prompt": "A long time ago in a galaxy far, far away",
-     "temperature": 0.7
-   }'
-```
-
-Available additional parameters: `top_p`, `top_k`, `max_tokens`
-
-</details>
-
-#### List models
-
-<details>
-You can list all the models available with:
-
-```
-curl http://localhost:8080/v1/models
-```
-
-</details>
-
-## Using other models
-
-gpt4all (https://github.com/nomic-ai/gpt4all) works as well, however the original model needs to be converted (same applies for old alpaca models, too):
-
-```bash
-wget -O tokenizer.model https://huggingface.co/decapoda-research/llama-30b-hf/resolve/main/tokenizer.model
-mkdir models
-cp gpt4all.. models/
-git clone https://gist.github.com/eiz/828bddec6162a023114ce19146cb2b82
-pip install sentencepiece
-python 828bddec6162a023114ce19146cb2b82/gistfile1.txt models tokenizer.model
-# There will be a new model with the ".tmp" extension, you have to use that one!
-```
-
-
-## Helm Chart Installation (run LocalAI in Kubernetes)
-The local-ai Helm chart supports two options for the LocalAI server's models directory:
-1. Basic deployment with no persistent volume. You must manually update the Deployment to configure your own models directory.
-
-    Install the chart with `.Values.deployment.volumes.enabled == false` and `.Values.dataVolume.enabled == false`.
-
-2. Advanced, two-phase deployment to provision the models directory using a DataVolume. Requires [Containerized Data Importer CDI](https://github.com/kubevirt/containerized-data-importer) to be pre-installed in your cluster.
-
-    First, install the chart with `.Values.deployment.volumes.enabled == false` and `.Values.dataVolume.enabled == true`:
-    ```bash
-    helm install local-ai charts/local-ai -n local-ai --create-namespace
-    ```
-    Wait for CDI to create an importer Pod for the DataVolume and for the importer pod to finish provisioning the model archive inside the PV.
-
-    Once the PV is provisioned and the importer Pod removed, set `.Values.deployment.volumes.enabled == true` and `.Values.dataVolume.enabled == false` and upgrade the chart:
-    ```bash
-    helm upgrade local-ai -n local-ai charts/local-ai
-    ```
-    This will update the local-ai Deployment to mount the PV that was provisioned by the DataVolume.
-
-## Windows compatibility
-
-It should work, however you need to make sure you give enough resources to the container. See https://github.com/go-skynet/LocalAI/issues/2
-
-## Build locally
-
-Pre-built images might fit well for most of the modern hardware, however you can and might need to build the images manually.
-
-In order to build the `LocalAI` container image locally you can use `docker`:
-
-```
-# build the image
-docker build -t LocalAI .
-docker run LocalAI
-```
-
-Or build the binary with `make`:
-
-```
-make build
-```
-
-## Frequently asked questions
-
-Here are answers to some of the most common questions.
-
-
-### How do I get models? 
-
-<details>
-
-Most ggml-based models should work, but newer models may require additions to the API. If a model doesn't work, please feel free to open up issues. However, be cautious about downloading models from the internet and directly onto your machine, as there may be security vulnerabilities in lama.cpp or ggml that could be maliciously exploited. Some models can be found on Hugging Face: https://huggingface.co/models?search=ggml, or models from gpt4all should also work: https://github.com/nomic-ai/gpt4all.
-
-</details>
-
-### What's the difference with Serge, or XXX?
-
-
-<details>
-
-LocalAI is a multi-model solution that doesn't focus on a specific model type (e.g., llama.cpp or alpaca.cpp), and it handles all of these internally for faster inference,  easy to set up locally and deploy to Kubernetes.
-
-</details>
-
-
-### Can I use it with a Discord bot, or XXX?
-
-<details>
-
-Yes! If the client uses OpenAI and supports setting a different base URL to send requests to, you can use the LocalAI endpoint. This allows to use this with every application that was supposed to work with OpenAI, but without changing the application!
-
-</details>
-
-
-### Can this leverage GPUs? 
-
-<details>
-
-Not currently, as ggml doesn't support GPUs yet: https://github.com/ggerganov/llama.cpp/discussions/915.
-
-</details>
-
-### Where is the webUI? 
-
-<details> 
-We are working on to have a good out of the box experience - however as LocalAI is an API you can already plug it into existing projects that provides are UI interfaces to OpenAI's APIs. There are several already on github, and should be compatible with LocalAI already (as it mimics the OpenAI API)
-
-</details>
-
-### Does it work with AutoGPT? 
-
-<details>
-
-AutoGPT currently doesn't allow to set a different API URL, but there is a PR open for it, so this should be possible soon!
-
-</details>
-
-
-## Short-term roadmap
-
- [x] Mimic OpenAI API (https://github.com/go-skynet/LocalAI/issues/10)
- [ ] Binary releases (https://github.com/go-skynet/LocalAI/issues/6)
- [ ] Upstream our golang bindings to llama.cpp (https://github.com/ggerganov/llama.cpp/issues/351)
- [x] Multi-model support
- [ ] Have a webUI!
- [ ] Allow configuration of defaults for models.
- [ ] Enable automatic downloading of models from a curated gallery, with only free-licensed models.
-
-## License
-
-MIT
-
-## Acknowledgements
-
- [llama.cpp](https://github.com/ggerganov/llama.cpp)
- https://github.com/tatsu-lab/stanford_alpaca
- https://github.com/cornelk/llama-go for the initial ideas
- https://github.com/antimatter15/alpaca.cpp for the light model version (this is compatible and tested only with that checkpoint model!)
--- a/api/api.go
+++ b/api/api.go
@ -1,437 +0,0 @@
-package api
-
-import (
-	"encoding/json"
-	"errors"
-	"fmt"
-	"strings"
-	"sync"
-
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
-	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
-	llama "github.com/go-skynet/go-llama.cpp"
-	"github.com/gofiber/fiber/v2"
-	"github.com/gofiber/fiber/v2/middleware/cors"
-	"github.com/gofiber/fiber/v2/middleware/recover"
-	"github.com/rs/zerolog"
-	"github.com/rs/zerolog/log"
-)
-
-// APIError provides error information returned by the OpenAI API.
-type APIError struct {
-	Code    any     `json:"code,omitempty"`
-	Message string  `json:"message"`
-	Param   *string `json:"param,omitempty"`
-	Type    string  `json:"type"`
-}
-
-type ErrorResponse struct {
-	Error *APIError `json:"error,omitempty"`
-}
-
-type OpenAIResponse struct {
-	Created int      `json:"created,omitempty"`
-	Object  string   `json:"chat.completion,omitempty"`
-	ID      string   `json:"id,omitempty"`
-	Model   string   `json:"model,omitempty"`
-	Choices []Choice `json:"choices,omitempty"`
-}
-
-type Choice struct {
-	Index        int      `json:"index,omitempty"`
-	FinishReason string   `json:"finish_reason,omitempty"`
-	Message      *Message `json:"message,omitempty"`
-	Text         string   `json:"text,omitempty"`
-}
-
-type Message struct {
-	Role    string `json:"role,omitempty"`
-	Content string `json:"content,omitempty"`
-}
-
-type OpenAIModel struct {
-	ID     string `json:"id"`
-	Object string `json:"object"`
-}
-
-type OpenAIRequest struct {
-	Model string `json:"model"`
-
-	// Prompt is read only by completion API calls
-	Prompt string `json:"prompt"`
-
-	Stop string `json:"stop"`
-
-	// Messages is read only by chat/completion API calls
-	Messages []Message `json:"messages"`
-
-	Echo bool `json:"echo"`
-	// Common options between all the API calls
-	TopP        float64 `json:"top_p"`
-	TopK        int     `json:"top_k"`
-	Temperature float64 `json:"temperature"`
-	Maxtokens   int     `json:"max_tokens"`
-
-	N int `json:"n"`
-
-	// Custom parameters - not present in the OpenAI API
-	Batch         int     `json:"batch"`
-	F16           bool    `json:"f16kv"`
-	IgnoreEOS     bool    `json:"ignore_eos"`
-	RepeatPenalty float64 `json:"repeat_penalty"`
-	Keep          int     `json:"n_keep"`
-
-	Seed int `json:"seed"`
-}
-
-// https://platform.openai.com/docs/api-reference/completions
-func openAIEndpoint(chat, debug bool, loader *model.ModelLoader, threads, ctx int, f16 bool, mutexMap *sync.Mutex, mutexes map[string]*sync.Mutex) func(c *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		var err error
-		var model *llama.LLama
-		var gptModel *gptj.GPTJ
-		var gpt2Model *gpt2.GPT2
-		var stableLMModel *gpt2.StableLM
-
-		input := new(OpenAIRequest)
-		// Get input data from the request body
-		if err := c.BodyParser(input); err != nil {
-			return err
-		}
-		modelFile := input.Model
-		received, _ := json.Marshal(input)
-
-		log.Debug().Msgf("Request received: %s", string(received))
-
-		// Set model from bearer token, if available
-		bearer := strings.TrimLeft(c.Get("authorization"), "Bearer ")
-		bearerExists := bearer != "" && loader.ExistsInModelPath(bearer)
-
-		// If no model was specified, take the first available
-		if modelFile == "" {
-			models, _ := loader.ListModels()
-			if len(models) > 0 {
-				modelFile = models[0]
-				log.Debug().Msgf("No model specified, using: %s", modelFile)
-			}
-		}
-
-		// If no model is found or specified, we bail out
-		if modelFile == "" && !bearerExists {
-			return fmt.Errorf("no model specified")
-		}
-
-		// If a model is found in bearer token takes precedence
-		if bearerExists {
-			log.Debug().Msgf("Using model from bearer token: %s", bearer)
-			modelFile = bearer
-		}
-
-		// Try to load the model
-		var llamaerr, gpt2err, gptjerr, stableerr error
-		llamaOpts := []llama.ModelOption{}
-		if ctx != 0 {
-			llamaOpts = append(llamaOpts, llama.SetContext(ctx))
-		}
-		if f16 {
-			llamaOpts = append(llamaOpts, llama.EnableF16Memory)
-		}
-
-		// TODO: this is ugly, better identifying the model somehow! however, it is a good stab for a first implementation..
-		model, llamaerr = loader.LoadLLaMAModel(modelFile, llamaOpts...)
-		if llamaerr != nil {
-			gptModel, gptjerr = loader.LoadGPTJModel(modelFile)
-			if gptjerr != nil {
-				gpt2Model, gpt2err = loader.LoadGPT2Model(modelFile)
-				if gpt2err != nil {
-					stableLMModel, stableerr = loader.LoadStableLMModel(modelFile)
-					if stableerr != nil {
-						return fmt.Errorf("llama: %s gpt: %s gpt2: %s stableLM: %s", llamaerr.Error(), gptjerr.Error(), gpt2err.Error(), stableerr.Error()) // llama failed first, so we want to catch both errors
-					}
-				}
-			}
-		}
-
-		// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
-		mutexMap.Lock()
-		l, ok := mutexes[modelFile]
-		if !ok {
-			m := &sync.Mutex{}
-			mutexes[modelFile] = m
-			l = m
-		}
-		mutexMap.Unlock()
-		l.Lock()
-		defer l.Unlock()
-
-		// Set the parameters for the language model prediction
-		topP := input.TopP
-		if topP == 0 {
-			topP = 0.7
-		}
-		topK := input.TopK
-		if topK == 0 {
-			topK = 80
-		}
-
-		temperature := input.Temperature
-		if temperature == 0 {
-			temperature = 0.9
-		}
-
-		tokens := input.Maxtokens
-		if tokens == 0 {
-			tokens = 512
-		}
-
-		predInput := input.Prompt
-		if chat {
-			mess := []string{}
-			// TODO: encode roles
-			for _, i := range input.Messages {
-				mess = append(mess, i.Content)
-			}
-
-			predInput = strings.Join(mess, "\n")
-		}
-
-		// A model can have a "file.bin.tmpl" file associated with a prompt template prefix
-		templatedInput, err := loader.TemplatePrefix(modelFile, struct {
-			Input string
-		}{Input: predInput})
-		if err == nil {
-			predInput = templatedInput
-			log.Debug().Msgf("Template found, input modified to: %s", predInput)
-		}
-
-		result := []Choice{}
-
-		n := input.N
-
-		if input.N == 0 {
-			n = 1
-		}
-
-		var predFunc func() (string, error)
-		switch {
-		case stableLMModel != nil:
-			predFunc = func() (string, error) {
-				// Generate the prediction using the language model
-				predictOptions := []gpt2.PredictOption{
-					gpt2.SetTemperature(temperature),
-					gpt2.SetTopP(topP),
-					gpt2.SetTopK(topK),
-					gpt2.SetTokens(tokens),
-					gpt2.SetThreads(threads),
-				}
-
-				if input.Batch != 0 {
-					predictOptions = append(predictOptions, gpt2.SetBatch(input.Batch))
-				}
-
-				if input.Seed != 0 {
-					predictOptions = append(predictOptions, gpt2.SetSeed(input.Seed))
-				}
-
-				return stableLMModel.Predict(
-					predInput,
-					predictOptions...,
-				)
-			}
-		case gpt2Model != nil:
-			predFunc = func() (string, error) {
-				// Generate the prediction using the language model
-				predictOptions := []gpt2.PredictOption{
-					gpt2.SetTemperature(temperature),
-					gpt2.SetTopP(topP),
-					gpt2.SetTopK(topK),
-					gpt2.SetTokens(tokens),
-					gpt2.SetThreads(threads),
-				}
-
-				if input.Batch != 0 {
-					predictOptions = append(predictOptions, gpt2.SetBatch(input.Batch))
-				}
-
-				if input.Seed != 0 {
-					predictOptions = append(predictOptions, gpt2.SetSeed(input.Seed))
-				}
-
-				return gpt2Model.Predict(
-					predInput,
-					predictOptions...,
-				)
-			}
-		case gptModel != nil:
-			predFunc = func() (string, error) {
-				// Generate the prediction using the language model
-				predictOptions := []gptj.PredictOption{
-					gptj.SetTemperature(temperature),
-					gptj.SetTopP(topP),
-					gptj.SetTopK(topK),
-					gptj.SetTokens(tokens),
-					gptj.SetThreads(threads),
-				}
-
-				if input.Batch != 0 {
-					predictOptions = append(predictOptions, gptj.SetBatch(input.Batch))
-				}
-
-				if input.Seed != 0 {
-					predictOptions = append(predictOptions, gptj.SetSeed(input.Seed))
-				}
-
-				return gptModel.Predict(
-					predInput,
-					predictOptions...,
-				)
-			}
-		case model != nil:
-			predFunc = func() (string, error) {
-				// Generate the prediction using the language model
-				predictOptions := []llama.PredictOption{
-					llama.SetTemperature(temperature),
-					llama.SetTopP(topP),
-					llama.SetTopK(topK),
-					llama.SetTokens(tokens),
-					llama.SetThreads(threads),
-				}
-
-				if debug {
-					predictOptions = append(predictOptions, llama.Debug)
-				}
-
-				if input.Stop != "" {
-					predictOptions = append(predictOptions, llama.SetStopWords(input.Stop))
-				}
-
-				if input.RepeatPenalty != 0 {
-					predictOptions = append(predictOptions, llama.SetPenalty(input.RepeatPenalty))
-				}
-
-				if input.Keep != 0 {
-					predictOptions = append(predictOptions, llama.SetNKeep(input.Keep))
-				}
-
-				if input.Batch != 0 {
-					predictOptions = append(predictOptions, llama.SetBatch(input.Batch))
-				}
-
-				if input.F16 {
-					predictOptions = append(predictOptions, llama.EnableF16KV)
-				}
-
-				if input.IgnoreEOS {
-					predictOptions = append(predictOptions, llama.IgnoreEOS)
-				}
-
-				if input.Seed != 0 {
-					predictOptions = append(predictOptions, llama.SetSeed(input.Seed))
-				}
-
-				return model.Predict(
-					predInput,
-					predictOptions...,
-				)
-			}
-		}
-
-		for i := 0; i < n; i++ {
-			prediction, err := predFunc()
-			if err != nil {
-				return err
-			}
-
-			if input.Echo {
-				prediction = predInput + prediction
-			}
-
-			if chat {
-				result = append(result, Choice{Message: &Message{Role: "assistant", Content: prediction}})
-			} else {
-				result = append(result, Choice{Text: prediction})
-			}
-		}
-
-		jsonResult, _ := json.Marshal(result)
-		log.Debug().Msgf("Response: %s", jsonResult)
-
-		// Return the prediction in the response body
-		return c.JSON(OpenAIResponse{
-			Model:   input.Model, // we have to return what the user sent here, due to OpenAI spec.
-			Choices: result,
-		})
-	}
-}
-
-func listModels(loader *model.ModelLoader) func(ctx *fiber.Ctx) error {
-	return func(c *fiber.Ctx) error {
-		models, err := loader.ListModels()
-		if err != nil {
-			return err
-		}
-
-		dataModels := []OpenAIModel{}
-		for _, m := range models {
-			dataModels = append(dataModels, OpenAIModel{ID: m, Object: "model"})
-		}
-		return c.JSON(struct {
-			Object string        `json:"object"`
-			Data   []OpenAIModel `json:"data"`
-		}{
-			Object: "list",
-			Data:   dataModels,
-		})
-	}
-}
-
-func App(loader *model.ModelLoader, threads, ctxSize int, f16 bool, debug, disableMessage bool) *fiber.App {
-	zerolog.SetGlobalLevel(zerolog.InfoLevel)
-	if debug {
-		zerolog.SetGlobalLevel(zerolog.DebugLevel)
-	}
-
-	// Return errors as JSON responses
-	app := fiber.New(fiber.Config{
-		DisableStartupMessage: disableMessage,
-		// Override default error handler
-		ErrorHandler: func(ctx *fiber.Ctx, err error) error {
-			// Status code defaults to 500
-			code := fiber.StatusInternalServerError
-
-			// Retrieve the custom status code if it's a *fiber.Error
-			var e *fiber.Error
-			if errors.As(err, &e) {
-				code = e.Code
-			}
-
-			// Send custom error page
-			return ctx.Status(code).JSON(
-				ErrorResponse{
-					Error: &APIError{Message: err.Error(), Code: code},
-				},
-			)
-		},
-	})
-
-	// Default middleware config
-	app.Use(recover.New())
-	app.Use(cors.New())
-
-	// This is still needed, see: https://github.com/ggerganov/llama.cpp/discussions/784
-	mu := map[string]*sync.Mutex{}
-	var mumutex = &sync.Mutex{}
-
-	// openAI compatible API endpoint
-	app.Post("/v1/chat/completions", openAIEndpoint(true, debug, loader, threads, ctxSize, f16, mumutex, mu))
-	app.Post("/chat/completions", openAIEndpoint(true, debug, loader, threads, ctxSize, f16, mumutex, mu))
-
-	app.Post("/v1/completions", openAIEndpoint(false, debug, loader, threads, ctxSize, f16, mumutex, mu))
-	app.Post("/completions", openAIEndpoint(false, debug, loader, threads, ctxSize, f16, mumutex, mu))
-
-	app.Get("/v1/models", listModels(loader))
-	app.Get("/models", listModels(loader))
-
-	return app
-}
--- a/api/api_test.go
+++ b/api/api_test.go
@ -1,58 +0,0 @@
-package api_test
-
-import (
-	"context"
-	"os"
-
-	. "github.com/go-skynet/LocalAI/api"
-	"github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/gofiber/fiber/v2"
-	. "github.com/onsi/ginkgo/v2"
-	. "github.com/onsi/gomega"
-
-	"github.com/sashabaranov/go-openai"
-)
-
-var _ = Describe("API test", func() {
-
-	var app *fiber.App
-	var modelLoader *model.ModelLoader
-	var client *openai.Client
-	Context("API query", func() {
-		BeforeEach(func() {
-			modelLoader = model.NewModelLoader(os.Getenv("MODELS_PATH"))
-			app = App(modelLoader, 1, 512, false, false, true)
-			go app.Listen("127.0.0.1:9090")
-
-			defaultConfig := openai.DefaultConfig("")
-			defaultConfig.BaseURL = "http://127.0.0.1:9090/v1"
-
-			// Wait for API to be ready
-			client = openai.NewClientWithConfig(defaultConfig)
-			Eventually(func() error {
-				_, err := client.ListModels(context.TODO())
-				return err
-			}, "2m").ShouldNot(HaveOccurred())
-		})
-		AfterEach(func() {
-			app.Shutdown()
-		})
-		It("returns the models list", func() {
-			models, err := client.ListModels(context.TODO())
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(models.Models)).To(Equal(1))
-			Expect(models.Models[0].ID).To(Equal("testmodel"))
-		})
-		It("can generate completions", func() {
-			resp, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "testmodel", Prompt: "abcdedfghikl"})
-			Expect(err).ToNot(HaveOccurred())
-			Expect(len(resp.Choices)).To(Equal(1))
-			Expect(resp.Choices[0].Text).ToNot(BeEmpty())
-		})
-		It("returns errors", func() {
-			_, err := client.CreateCompletion(context.TODO(), openai.CompletionRequest{Model: "foomodel", Prompt: "abcdedfghikl"})
-			Expect(err).To(HaveOccurred())
-			Expect(err.Error()).To(ContainSubstring("error, status code: 500, message: llama: model does not exist"))
-		})
-	})
-})
--- a/api/apt_suite_test.go
+++ b/api/apt_suite_test.go
@ -1,13 +0,0 @@
-package api_test
-
-import (
-	"testing"
-
-	. "github.com/onsi/ginkgo/v2"
-	. "github.com/onsi/gomega"
-)
-
-func TestLocalAI(t *testing.T) {
-	RegisterFailHandler(Fail)
-	RunSpecs(t, "LocalAI test suite")
-}
--- a/charts/local-ai/Chart.yaml
+++ b/charts/local-ai/Chart.yaml
@ -1,6 +0,0 @@
-apiVersion: v2
-appVersion: 0.1.0
-description: A Helm chart for LocalAI
-name: local-ai
-type: application
-version: 1.0.0
--- a/charts/local-ai/templates/_helpers.tpl
+++ b/charts/local-ai/templates/_helpers.tpl
@ -1,44 +0,0 @@
-{{/*
-Expand the name of the chart.
-*/}}
-{{- define "local-ai.name" -}}
-{{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }}
-{{- end }}
-
-{{/*
-Create a default fully qualified app name.
-We truncate at 63 chars because some Kubernetes name fields are limited to this (by the DNS naming spec).
-If release name contains chart name it will be used as a full name.
-*/}}
-{{- define "local-ai.fullname" -}}
-{{- if .Values.fullnameOverride }}
-{{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" }}
-{{- else }}
-{{- $name := default .Chart.Name .Values.nameOverride }}
-{{- if contains $name .Release.Name }}
-{{- .Release.Name | trunc 63 | trimSuffix "-" }}
-{{- else }}
-{{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" }}
-{{- end }}
-{{- end }}
-{{- end }}
-
-{{/*
-Create chart name and version as used by the chart label.
-*/}}
-{{- define "local-ai.chart" -}}
-{{- printf "%s-%s" .Chart.Name .Chart.Version | replace "+" "_" | trunc 63 | trimSuffix "-" }}
-{{- end }}
-
-{{/*
-Common labels
-*/}}
-{{- define "local-ai.labels" -}}
-helm.sh/chart: {{ include "local-ai.chart" . }}
-app.kubernetes.io/name: {{ include "local-ai.name" . }}
-app.kubernetes.io/instance: "{{ .Release.Name }}"
-app.kubernetes.io/managed-by: {{ .Release.Service }}
-{{- if .Chart.AppVersion }}
-app.kubernetes.io/version: {{ .Chart.AppVersion | quote }}
-{{- end }}
-{{- end }}
--- a/charts/local-ai/templates/data-volume.yaml
+++ b/charts/local-ai/templates/data-volume.yaml
@ -1,39 +0,0 @@
-{{- if .Values.dataVolume.enabled }}
-apiVersion: cdi.kubevirt.io/v1beta1
-kind: DataVolume
-metadata:
-  name: {{ template "local-ai.fullname" . }}
-  namespace: {{ .Release.Namespace | quote }}
-  labels:
-    {{- include "local-ai.labels" . | nindent 4 }}
-spec:
-  contentType: archive
-  source:
-    {{ .Values.dataVolume.source.type }}:
-      url: {{ .Values.dataVolume.source.url }}
-      secretRef: {{ template "local-ai.fullname" . }}
-      {{- if and (eq .Values.dataVolume.source.type "http") .Values.dataVolume.source.secretExtraHeaders }}
-      secretExtraHeaders: {{ .Values.dataVolume.source.secretExtraHeaders }}
-      {{- end }}
-      {{- if .Values.dataVolume.source.caCertConfigMap }}
-      caCertConfigMap: {{ .Values.dataVolume.source.caCertConfigMap }}
-      {{- end }}
-  pvc:
-    accessModes: {{ .Values.dataVolume.pvc.accessModes }}
-    resources:
-      requests:
-        storage: {{ .Values.dataVolume.pvc.size }}
---
-{{- if .Values.dataVolume.secret.enabled }}
-apiVersion: v1
-kind: Secret
-metadata:
-  name: {{ template "local-ai.fullname" . }}
-  namespace: {{ .Release.Namespace | quote }}
-  labels:
-    {{- include "local-ai.labels" . | nindent 4 }}
-data:
-  accessKeyId: {{ .Values.dataVolume.secret.username }}
-  secretKey: {{ .Values.dataVolume.secret.password }}
-{{- end }}
-{{- end }}
--- a/charts/local-ai/templates/deployment.yaml
+++ b/charts/local-ai/templates/deployment.yaml
@ -1,39 +0,0 @@
-apiVersion: apps/v1
-kind: Deployment
-metadata:
-  name: {{ template "local-ai.fullname" . }}
-  namespace: {{ .Release.Namespace | quote }}
-  labels:
-    {{- include "local-ai.labels" . | nindent 4 }}
-spec:
-  selector:
-    matchLabels:
-      app.kubernetes.io/name: {{ include "local-ai.name" . }}
-      app.kubernetes.io/instance: {{ .Release.Name }}
-  replicas: 1
-  template:
-    metadata:
-      name: {{ template "local-ai.fullname" . }}
-      labels:
-        app.kubernetes.io/name: {{ include "local-ai.name" . }}
-        app.kubernetes.io/instance: {{ .Release.Name }}
-    spec:
-      containers:
-        - name: {{ template "local-ai.fullname" . }}
-          image: {{ .Values.deployment.image }}
-          env:
-          - name: THREADS
-            value: {{ .Values.deployment.env.threads | quote }}
-          - name: CONTEXT_SIZE
-            value: {{ .Values.deployment.env.contextSize | quote }}
-          - name: MODELS_PATH
-            value: {{ .Values.deployment.env.modelsPath }}
-{{- if .Values.deployment.volume.enabled }}
-          volumeMounts:
-          - mountPath: {{ .Values.deployment.env.modelsPath }}
-            name: models
-      volumes:
-      - name: models
-        persistentVolumeClaim:
-          claimName: {{ template "local-ai.fullname" . }}
-{{- end }}
--- a/charts/local-ai/templates/service.yaml
+++ b/charts/local-ai/templates/service.yaml
@ -1,19 +0,0 @@
-apiVersion: v1
-kind: Service
-metadata:
-  name: {{ template "local-ai.fullname" . }}
-  namespace: {{ .Release.Namespace | quote }}
-  labels:
-    {{- include "local-ai.labels" . | nindent 4 }}
-{{- if .Values.service.annotations }}
-  annotations:
-  {{ toYaml .Values.service.annotations | indent 4 }}
-{{- end }}
-spec:
-  selector:
-    app.kubernetes.io/name: {{ include "local-ai.name" . }}
-  type: "{{ .Values.service.type }}"
-  ports:
-    - protocol: TCP
-      port: 8080
-      targetPort: 8080
--- a/charts/local-ai/values.yaml
+++ b/charts/local-ai/values.yaml
@ -1,38 +0,0 @@
-deployment:
-  image: quay.io/go-skynet/local-ai:latest
-  env:
-    threads: 14
-    contextSize: 512
-    modelsPath: "/models"
-  volume:
-    enabled: false
-
-service:
-  type: ClusterIP
-  annotations: {}
-  # If using an AWS load balancer, you'll need to override the default 60s load balancer idle timeout
-  # service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "1200"
-
-# Optionally create a PVC containing a model binary, sourced from an arbitrary HTTP server or S3 bucket
-# (requires https://github.com/kubevirt/containerized-data-importer)
-dataVolume:
-  enabled: false
-  source:
-    type: "http" # Source type. One of: [ http | s3 ]
-    url: "http://<model_server>/<model_archive>" # e.g. koala-7B-4bit-128g.GGML.tar
-
-    # CertConfigMap is an optional ConfigMap reference, containing a Certificate Authority (CA) public key
-    # and a base64 encoded pem certificate
-    caCertConfigMap: ""
-
-    # SecretExtraHeaders is an optional list of Secret references, each containing an extra HTTP header
-    # that may include sensitive information. Only applicable for the http source type.
-    secretExtraHeaders: []
-  pvc:
-    accessModes:
-    - ReadWriteOnce
-    size: 5Gi
-  secret:
-    enabled: false
-    username: "" # base64 encoded
-    password: "" # base64 encoded
--- a/docker-compose.yaml
+++ b/docker-compose.yaml
@ -1,15 +0,0 @@
-version: '3.6'
-
-services:
-  api:
-    image: quay.io/go-skynet/local-ai:latest
-    build:
-      context: .
-      dockerfile: Dockerfile
-    ports:
-      - 8080:8080
-    env_file:
-      - .env
-    volumes:
-      - ./models:/models:cached
-    command: ["/usr/bin/local-ai" ]
--- a/go.mod
+++ b/go.mod
@ -1,54 +0,0 @@
-module github.com/go-skynet/LocalAI
-
-go 1.19
-
-require (
-	github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708
-	github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c
-	github.com/go-skynet/go-llama.cpp v0.0.0-20230424120713-e45cebe33c04
-	github.com/gofiber/fiber/v2 v2.44.0
-	github.com/jaypipes/ghw v0.10.0
-	github.com/onsi/ginkgo/v2 v2.9.2
-	github.com/onsi/gomega v1.27.6
-	github.com/rs/zerolog v1.29.1
-	github.com/sashabaranov/go-openai v1.9.0
-	github.com/urfave/cli/v2 v2.25.1
-)
-
-require (
-	github.com/StackExchange/wmi v1.2.1 // indirect
-	github.com/andybalholm/brotli v1.0.5 // indirect
-	github.com/cpuguy83/go-md2man/v2 v2.0.2 // indirect
-	github.com/ghodss/yaml v1.0.0 // indirect
-	github.com/go-logr/logr v1.2.3 // indirect
-	github.com/go-ole/go-ole v1.2.6 // indirect
-	github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 // indirect
-	github.com/google/go-cmp v0.5.9 // indirect
-	github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38 // indirect
-	github.com/google/uuid v1.3.0 // indirect
-	github.com/jaypipes/pcidb v1.0.0 // indirect
-	github.com/klauspost/compress v1.16.3 // indirect
-	github.com/kr/text v0.2.0 // indirect
-	github.com/mattn/go-colorable v0.1.13 // indirect
-	github.com/mattn/go-isatty v0.0.18 // indirect
-	github.com/mattn/go-runewidth v0.0.14 // indirect
-	github.com/mitchellh/go-homedir v1.1.0 // indirect
-	github.com/philhofer/fwd v1.1.2 // indirect
-	github.com/pkg/errors v0.9.1 // indirect
-	github.com/rivo/uniseg v0.2.0 // indirect
-	github.com/russross/blackfriday/v2 v2.1.0 // indirect
-	github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 // indirect
-	github.com/savsgio/gotils v0.0.0-20230208104028-c358bd845dee // indirect
-	github.com/tinylib/msgp v1.1.8 // indirect
-	github.com/valyala/bytebufferpool v1.0.0 // indirect
-	github.com/valyala/fasthttp v1.45.0 // indirect
-	github.com/valyala/tcplisten v1.0.0 // indirect
-	github.com/xrash/smetrics v0.0.0-20201216005158-039620a65673 // indirect
-	golang.org/x/net v0.8.0 // indirect
-	golang.org/x/sys v0.7.0 // indirect
-	golang.org/x/text v0.8.0 // indirect
-	golang.org/x/tools v0.7.0 // indirect
-	gopkg.in/yaml.v2 v2.4.0 // indirect
-	gopkg.in/yaml.v3 v3.0.1 // indirect
-	howett.net/plist v1.0.0 // indirect
-)
--- a/go.sum
+++ b/go.sum
@ -1,197 +0,0 @@
-github.com/StackExchange/wmi v1.2.1 h1:VIkavFPXSjcnS+O8yTq7NI32k0R5Aj+v39y29VYDOSA=
-github.com/StackExchange/wmi v1.2.1/go.mod h1:rcmrprowKIVzvc+NUiLncP2uuArMWLCbu9SBzvHz7e8=
-github.com/andybalholm/brotli v1.0.4 h1:V7DdXeJtZscaqfNuAdSRuRFzuiKlHSC/Zh3zl9qY3JY=
-github.com/andybalholm/brotli v1.0.4/go.mod h1:fO7iG3H7G2nSZ7m0zPUDn85XEX2GTukHGRSepvi9Eig=
-github.com/andybalholm/brotli v1.0.5 h1:8uQZIdzKmjc/iuPu7O2ioW48L81FgatrcpfFmiq/cCs=
-github.com/andybalholm/brotli v1.0.5/go.mod h1:fO7iG3H7G2nSZ7m0zPUDn85XEX2GTukHGRSepvi9Eig=
-github.com/chzyer/logex v1.1.10/go.mod h1:+Ywpsq7O8HXn0nuIou7OrIPyXbp3wmkHB+jjWRnGsAI=
-github.com/chzyer/readline v0.0.0-20180603132655-2972be24d48e/go.mod h1:nSuG5e5PlCu98SY8svDHJxuZscDgtXS6KTTbou5AhLI=
-github.com/chzyer/test v0.0.0-20180213035817-a1ea475d72b1/go.mod h1:Q3SI9o4m/ZMnBNeIyt5eFwwo7qiLfzFZmjNmxjkiQlU=
-github.com/coreos/go-systemd/v22 v22.5.0/go.mod h1:Y58oyj3AT4RCenI/lSvhwexgC+NSVTIJ3seZv2GcEnc=
-github.com/cpuguy83/go-md2man/v2 v2.0.2 h1:p1EgwI/C7NhT0JmVkwCD2ZBK8j4aeHQX2pMHHBfMQ6w=
-github.com/cpuguy83/go-md2man/v2 v2.0.2/go.mod h1:tgQtvFlXSQOSOSIRvRPT7W67SCa46tRHOmNcaadrF8o=
-github.com/creack/pty v1.1.9/go.mod h1:oKZEueFk5CKHvIhNR5MUki03XCEU+Q6VDXinZuGJ33E=
-github.com/davecgh/go-spew v1.1.0/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
-github.com/davecgh/go-spew v1.1.1 h1:vj9j/u1bqnvCEfJOwUhtlOARqs3+rkHYY13jYWTU97c=
-github.com/davecgh/go-spew v1.1.1/go.mod h1:J7Y8YcW2NihsgmVo/mv3lAwl/skON4iLHjSsI+c5H38=
-github.com/ghodss/yaml v1.0.0 h1:wQHKEahhL6wmXdzwWG11gIVCkOv05bNOh+Rxn0yngAk=
-github.com/ghodss/yaml v1.0.0/go.mod h1:4dBDuWmgqj2HViK6kFavaiC9ZROes6MMH2rRYeMEF04=
-github.com/go-logr/logr v1.2.3 h1:2DntVwHkVopvECVRSlL5PSo9eG+cAkDCuckLubN+rq0=
-github.com/go-logr/logr v1.2.3/go.mod h1:jdQByPbusPIv2/zmleS9BjJVeZ6kBagPoEUsqbVz/1A=
-github.com/go-ole/go-ole v1.2.5/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
-github.com/go-ole/go-ole v1.2.6 h1:/Fpf6oFPoeFik9ty7siob0G6Ke8QvQEuVcuChpwXzpY=
-github.com/go-ole/go-ole v1.2.6/go.mod h1:pprOEPIfldk/42T2oK7lQ4v4JSDwmV0As9GaiUsvbm0=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420213900-1c24f5b86ac4 h1:GkGuqnhDFKlCsT6Bo8sdY00A7rFXCzfU1nBOSS4ZnYM=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230420213900-1c24f5b86ac4/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708 h1:cfOi4TWvQ6JsAm9Q1A8I8j9YfNy10bmIfwOiyGyU5wQ=
-github.com/go-skynet/go-gpt2.cpp v0.0.0-20230422085954-245a5bfe6708/go.mod h1:1Wj/xbkMfwQSOrhNYK178IzqQHstZbRfhx4s8p1M5VM=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94 h1:rtrrMvlIq+g0/ltXjDdLeNtz0uc4wJ4Qs15GFU4ba4c=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230419091210-303cf2a59a94/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c h1:48I7jpLNGiQeBmF0SFVVbREh8vlG0zN13v9LH5ctXis=
-github.com/go-skynet/go-gpt4all-j.cpp v0.0.0-20230422090028-1f7bff57f66c/go.mod h1:5VZ9XbcINI0XcHhkcX8GPK8TplFGAzu1Hrg4tNiMCtI=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230421172644-351a5a40eead h1:C+lcH1srw+c0qPDx1WF8zjGiiOqoPxVICt7bI1sj5cM=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230421172644-351a5a40eead/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230424120713-e45cebe33c04 h1:NPiv7mcIjU71MhEv3v4RRWKSBNXnnCyu6VX4CaaHz2I=
-github.com/go-skynet/go-llama.cpp v0.0.0-20230424120713-e45cebe33c04/go.mod h1:35AKIEMY+YTKCBJIa/8GZcNGJ2J+nQk1hQiWo/OnEWw=
-github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572 h1:tfuBGBXKqDEevZMzYi5KSi8KkcZtzBcTgAUUtapy0OI=
-github.com/go-task/slim-sprig v0.0.0-20230315185526-52ccab3ef572/go.mod h1:9Pwr4B2jHnOSGXyyzV8ROjYa2ojvAY6HCGYYfMoC3Ls=
-github.com/godbus/dbus/v5 v5.0.4/go.mod h1:xhWf0FNVPg57R7Z0UbKHbJfkEywrmjJnf7w5xrFpKfA=
-github.com/gofiber/fiber/v2 v2.42.0 h1:Fnp7ybWvS+sjNQsFvkhf4G8OhXswvB6Vee8hM/LyS+8=
-github.com/gofiber/fiber/v2 v2.42.0/go.mod h1:3+SGNjqMh5VQH5Vz2Wdi43zTIV16ktlFd3x3R6O1Zlc=
-github.com/gofiber/fiber/v2 v2.44.0 h1:Z90bEvPcJM5GFJnu1py0E1ojoerkyew3iiNJ78MQCM8=
-github.com/gofiber/fiber/v2 v2.44.0/go.mod h1:VTMtb/au8g01iqvHyaCzftuM/xmZgKOZCtFzz6CdV9w=
-github.com/golang/protobuf v1.5.3 h1:KhyjKVUg7Usr/dYsdSqoFveMYd5ko72D+zANwlG1mmg=
-github.com/google/go-cmp v0.5.9 h1:O2Tfq5qg4qc4AmwVlvv0oLiVAGB7enBSJ2x2DqQFi38=
-github.com/google/go-cmp v0.5.9/go.mod h1:17dUlkBOakJ0+DkrSSNjCkIjxS6bF9zb3elmeNGIjoY=
-github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38 h1:yAJXTCF9TqKcTiHJAE8dj7HMvPfh66eeA2JYW7eFpSE=
-github.com/google/pprof v0.0.0-20210407192527-94a9f03dee38/go.mod h1:kpwsk12EmLew5upagYY7GY0pfYCcupk39gWOCRROcvE=
-github.com/google/uuid v1.3.0 h1:t6JiXgmwXMjEs8VusXIJk2BXHsn+wx8BZdTaoZ5fu7I=
-github.com/google/uuid v1.3.0/go.mod h1:TIyPZe4MgqvfeYDBFedMoGGpEw/LqOeaOT+nhxU+yHo=
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-github.com/jaypipes/ghw v0.10.0/go.mod h1:jeJGbkRB2lL3/gxYzNYzEDETV1ZJ56OKr+CSeSEym+g=
-github.com/jaypipes/pcidb v1.0.0 h1:vtZIfkiCUE42oYbJS0TAq9XSfSmcsgo9IdxSm9qzYU8=
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-github.com/klauspost/compress v1.15.9 h1:wKRjX6JRtDdrE9qwa4b/Cip7ACOshUI4smpCQanqjSY=
-github.com/klauspost/compress v1.15.9/go.mod h1:PhcZ0MbTNciWF3rruxRgKxI5NkcHHrHUDtV4Yw2GlzU=
-github.com/klauspost/compress v1.16.3 h1:XuJt9zzcnaz6a16/OU53ZjWp/v7/42WcR5t2a0PcNQY=
-github.com/klauspost/compress v1.16.3/go.mod h1:ntbaceVETuRiXiv4DpjP66DpAtAGkEQskQzEyD//IeE=
-github.com/kr/pretty v0.1.0 h1:L/CwN0zerZDmRFUapSPitk6f+Q3+0za1rQkzVuMiMFI=
-github.com/kr/text v0.2.0 h1:5Nx0Ya0ZqY2ygV366QzturHI13Jq95ApcVaJBhpS+AY=
-github.com/kr/text v0.2.0/go.mod h1:eLer722TekiGuMkidMxC/pM04lWEeraHUUmBw8l2grE=
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-github.com/mattn/go-colorable v0.1.13 h1:fFA4WZxdEF4tXPZVKMLwD8oUnCTTo08duU7wxecdEvA=
-github.com/mattn/go-colorable v0.1.13/go.mod h1:7S9/ev0klgBDR4GtXTXX8a3vIGJpMovkB8vQcUbaXHg=
-github.com/mattn/go-isatty v0.0.14/go.mod h1:7GGIvUiUoEMVVmxf/4nioHXj79iQHKdU27kJ6hsGG94=
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-github.com/mattn/go-isatty v0.0.17 h1:BTarxUcIeDqL27Mc+vyvdWYSL28zpIhv3RoTdsLMPng=
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-github.com/onsi/ginkgo/v2 v2.9.2 h1:BA2GMJOtfGAfagzYtrAlufIP0lq6QERkFmHLMLPwFSU=
-github.com/onsi/ginkgo/v2 v2.9.2/go.mod h1:WHcJJG2dIlcCqVfBAwUCrJxSPFb6v4azBwgxeMeDuts=
-github.com/onsi/gomega v1.27.6 h1:ENqfyGeS5AX/rlXDd/ETokDz93u0YufY1Pgxuy/PvWE=
-github.com/onsi/gomega v1.27.6/go.mod h1:PIQNjfQwkP3aQAH7lf7j87O/5FiNr+ZR8+ipb+qQlhg=
-github.com/philhofer/fwd v1.1.1 h1:GdGcTjf5RNAxwS4QLsiMzJYj5KEvPJD3Abr261yRQXQ=
-github.com/philhofer/fwd v1.1.1/go.mod h1:gk3iGcWd9+svBvR0sR+KPcfE+RNWozjowpeBVG3ZVNU=
-github.com/philhofer/fwd v1.1.2 h1:bnDivRJ1EWPjUIRXV5KfORO897HTbpFAQddBdE8t7Gw=
-github.com/philhofer/fwd v1.1.2/go.mod h1:qkPdfjR2SIEbspLqpe1tO4n5yICnr2DY7mqEx2tUTP0=
-github.com/pkg/errors v0.9.1 h1:FEBLx1zS214owpjy7qsBeixbURkuhQAwrK5UwLGTwt4=
-github.com/pkg/errors v0.9.1/go.mod h1:bwawxfHBFNV+L2hUp1rHADufV3IMtnDRdf1r5NINEl0=
-github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
-github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
-github.com/rivo/uniseg v0.2.0 h1:S1pD9weZBuJdFmowNwbpi7BJ8TNftyUImj/0WQi72jY=
-github.com/rivo/uniseg v0.2.0/go.mod h1:J6wj4VEh+S6ZtnVlnTBMWIodfgj8LQOQFoIToxlJtxc=
-github.com/rs/xid v1.4.0/go.mod h1:trrq9SKmegXys3aeAKXMUTdJsYXVwGY3RLcfgqegfbg=
-github.com/rs/zerolog v1.29.1 h1:cO+d60CHkknCbvzEWxP0S9K6KqyTjrCNUy1LdQLCGPc=
-github.com/rs/zerolog v1.29.1/go.mod h1:Le6ESbR7hc+DP6Lt1THiV8CQSdkkNrd3R0XbEgp3ZBU=
-github.com/russross/blackfriday/v2 v2.1.0 h1:JIOH55/0cWyOuilr9/qlrm0BSXldqnqwMsf35Ld67mk=
-github.com/russross/blackfriday/v2 v2.1.0/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
-github.com/sashabaranov/go-openai v1.9.0 h1:NoiO++IISxxJ1pRc0n7uZvMGMake0G+FJ1XPwXtprsA=
-github.com/sashabaranov/go-openai v1.9.0/go.mod h1:lj5b/K+zjTSFxVLijLSTDZuP7adOgerWeFyZLUhAKRg=
-github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94 h1:rmMl4fXJhKMNWl+K+r/fq4FbbKI+Ia2m9hYBLm2h4G4=
-github.com/savsgio/dictpool v0.0.0-20221023140959-7bf2e61cea94/go.mod h1:90zrgN3D/WJsDd1iXHT96alCoN2KJo6/4x1DZC3wZs8=
-github.com/savsgio/gotils v0.0.0-20220530130905-52f3993e8d6d h1:Q+gqLBOPkFGHyCJxXMRqtUgUbTjI8/Ze8vu8GGyNFwo=
-github.com/savsgio/gotils v0.0.0-20220530130905-52f3993e8d6d/go.mod h1:Gy+0tqhJvgGlqnTF8CVGP0AaGRjwBtXs/a5PA0Y3+A4=
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-howett.net/plist v1.0.0/go.mod h1:lqaXoTrLY4hg8tnEzNru53gicrbv7rrk+2xJA/7hw9g=
--- a/main.go
+++ b/main.go
@ -1,92 +0,0 @@
-package main
-
-import (
-	"os"
-
-	api "github.com/go-skynet/LocalAI/api"
-	model "github.com/go-skynet/LocalAI/pkg/model"
-	"github.com/jaypipes/ghw"
-	"github.com/rs/zerolog"
-	"github.com/rs/zerolog/log"
-	"github.com/urfave/cli/v2"
-)
-
-func main() {
-	log.Logger = log.Output(zerolog.ConsoleWriter{Out: os.Stderr})
-
-	path, err := os.Getwd()
-	if err != nil {
-		log.Error().Msgf("error: %s", err.Error())
-		os.Exit(1)
-	}
-
-	threads := 4
-	cpu, err := ghw.CPU()
-	if err == nil {
-		threads = int(cpu.TotalCores)
-	}
-
-	app := &cli.App{
-		Name:  "LocalAI",
-		Usage: "OpenAI compatible API for running LLaMA/GPT models locally on CPU with consumer grade hardware.",
-		Flags: []cli.Flag{
-			&cli.BoolFlag{
-				Name:    "f16",
-				EnvVars: []string{"F16"},
-			},
-			&cli.BoolFlag{
-				Name:    "debug",
-				EnvVars: []string{"DEBUG"},
-			},
-			&cli.IntFlag{
-				Name:        "threads",
-				DefaultText: "Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested.",
-				EnvVars:     []string{"THREADS"},
-				Value:       threads,
-			},
-			&cli.StringFlag{
-				Name:        "models-path",
-				DefaultText: "Path containing models used for inferencing",
-				EnvVars:     []string{"MODELS_PATH"},
-				Value:       path,
-			},
-			&cli.StringFlag{
-				Name:        "address",
-				DefaultText: "Bind address for the API server.",
-				EnvVars:     []string{"ADDRESS"},
-				Value:       ":8080",
-			},
-			&cli.IntFlag{
-				Name:        "context-size",
-				DefaultText: "Default context size of the model",
-				EnvVars:     []string{"CONTEXT_SIZE"},
-				Value:       512,
-			},
-		},
-		Description: `
-LocalAI is a drop-in replacement OpenAI API which runs inference locally.
-
-Some of the models compatible are:
- Vicuna
- Koala
- GPT4ALL
- GPT4ALL-J
- Cerebras
- Alpaca
- StableLM (ggml quantized)
-
-It uses llama.cpp, ggml and gpt4all as backend with golang c bindings.
-`,
-		UsageText: `local-ai [options]`,
-		Copyright: "go-skynet authors",
-		Action: func(ctx *cli.Context) error {
-			return api.App(model.NewModelLoader(ctx.String("models-path")), ctx.Int("threads"), ctx.Int("context-size"), ctx.Bool("f16"), ctx.Bool("debug"), false).Listen(ctx.String("address"))
-		},
-	}
-
-	err = app.Run(os.Args)
-	if err != nil {
-		log.Error().Msgf("error: %s", err.Error())
-		os.Exit(1)
-	}
-}
--- a/models/.keep
+++ b/models/.keep
--- a/pkg/model/loader.go
+++ b/pkg/model/loader.go
@ -1,274 +0,0 @@
-package model
-
-import (
-	"bytes"
-	"fmt"
-	"io/ioutil"
-	"os"
-	"path/filepath"
-	"strings"
-	"sync"
-	"text/template"
-
-	"github.com/rs/zerolog/log"
-
-	gpt2 "github.com/go-skynet/go-gpt2.cpp"
-	gptj "github.com/go-skynet/go-gpt4all-j.cpp"
-	llama "github.com/go-skynet/go-llama.cpp"
-)
-
-type ModelLoader struct {
-	modelPath string
-	mu        sync.Mutex
-
-	models            map[string]*llama.LLama
-	gptmodels         map[string]*gptj.GPTJ
-	gpt2models        map[string]*gpt2.GPT2
-	gptstablelmmodels map[string]*gpt2.StableLM
-
-	promptsTemplates map[string]*template.Template
-}
-
-func NewModelLoader(modelPath string) *ModelLoader {
-	return &ModelLoader{
-		modelPath:         modelPath,
-		gpt2models:        make(map[string]*gpt2.GPT2),
-		gptmodels:         make(map[string]*gptj.GPTJ),
-		gptstablelmmodels: make(map[string]*gpt2.StableLM),
-		models:            make(map[string]*llama.LLama),
-		promptsTemplates:  make(map[string]*template.Template),
-	}
-}
-
-func (ml *ModelLoader) ExistsInModelPath(s string) bool {
-	_, err := os.Stat(filepath.Join(ml.modelPath, s))
-	return err == nil
-}
-
-func (ml *ModelLoader) ListModels() ([]string, error) {
-	files, err := ioutil.ReadDir(ml.modelPath)
-	if err != nil {
-		return []string{}, err
-	}
-
-	models := []string{}
-	for _, file := range files {
-		// Skip templates, YAML and .keep files
-		if strings.HasSuffix(file.Name(), ".tmpl") || strings.HasSuffix(file.Name(), ".keep") || strings.HasSuffix(file.Name(), ".yaml") || strings.HasSuffix(file.Name(), ".yml") {
-			continue
-		}
-
-		models = append(models, file.Name())
-	}
-
-	return models, nil
-}
-
-func (ml *ModelLoader) TemplatePrefix(modelName string, in interface{}) (string, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	m, ok := ml.promptsTemplates[modelName]
-	if !ok {
-		return "", fmt.Errorf("no prompt template available")
-	}
-
-	var buf bytes.Buffer
-
-	if err := m.Execute(&buf, in); err != nil {
-		return "", err
-	}
-	return buf.String(), nil
-}
-
-func (ml *ModelLoader) loadTemplateIfExists(modelName, modelFile string) error {
-	// Check if the template was already loaded
-	if _, ok := ml.promptsTemplates[modelName]; ok {
-		return nil
-	}
-
-	// Check if the model path exists
-	// skip any error here - we run anyway if a template is not exist
-	modelTemplateFile := fmt.Sprintf("%s.tmpl", modelName)
-
-	if !ml.ExistsInModelPath(modelTemplateFile) {
-		return nil
-	}
-
-	dat, err := os.ReadFile(filepath.Join(ml.modelPath, modelTemplateFile))
-	if err != nil {
-		return err
-	}
-
-	// Parse the template
-	tmpl, err := template.New("prompt").Parse(string(dat))
-	if err != nil {
-		return err
-	}
-	ml.promptsTemplates[modelName] = tmpl
-
-	return nil
-}
-
-func (ml *ModelLoader) LoadStableLMModel(modelName string) (*gpt2.StableLM, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gptstablelmmodels[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.modelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gpt2.NewStableLM(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gptstablelmmodels[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadGPT2Model(modelName string) (*gpt2.GPT2, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gpt2models[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// TODO: This needs refactoring, it's really bad to have it in here
-	// Check if we have a GPTStable model loaded instead - if we do we return an error so the API tries with StableLM
-	if _, ok := ml.gptstablelmmodels[modelName]; ok {
-		log.Debug().Msgf("Model is GPTStableLM: %s", modelName)
-		return nil, fmt.Errorf("this model is a GPTStableLM one")
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.modelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gpt2.New(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gpt2models[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadGPTJModel(modelName string) (*gptj.GPTJ, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.gptmodels[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// TODO: This needs refactoring, it's really bad to have it in here
-	// Check if we have a GPT2 model loaded instead - if we do we return an error so the API tries with GPT2
-	if _, ok := ml.gpt2models[modelName]; ok {
-		log.Debug().Msgf("Model is GPT2: %s", modelName)
-		return nil, fmt.Errorf("this model is a GPT2 one")
-	}
-	if _, ok := ml.gptstablelmmodels[modelName]; ok {
-		log.Debug().Msgf("Model is GPTStableLM: %s", modelName)
-		return nil, fmt.Errorf("this model is a GPTStableLM one")
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.modelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := gptj.New(modelFile)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.gptmodels[modelName] = model
-	return model, err
-}
-
-func (ml *ModelLoader) LoadLLaMAModel(modelName string, opts ...llama.ModelOption) (*llama.LLama, error) {
-	ml.mu.Lock()
-	defer ml.mu.Unlock()
-
-	log.Debug().Msgf("Loading model name: %s", modelName)
-
-	// Check if we already have a loaded model
-	if !ml.ExistsInModelPath(modelName) {
-		return nil, fmt.Errorf("model does not exist")
-	}
-
-	if m, ok := ml.models[modelName]; ok {
-		log.Debug().Msgf("Model already loaded in memory: %s", modelName)
-		return m, nil
-	}
-
-	// TODO: This needs refactoring, it's really bad to have it in here
-	// Check if we have a GPTJ model loaded instead - if we do we return an error so the API tries with GPTJ
-	if _, ok := ml.gptmodels[modelName]; ok {
-		log.Debug().Msgf("Model is GPTJ: %s", modelName)
-		return nil, fmt.Errorf("this model is a GPTJ one")
-	}
-	if _, ok := ml.gpt2models[modelName]; ok {
-		log.Debug().Msgf("Model is GPT2: %s", modelName)
-		return nil, fmt.Errorf("this model is a GPT2 one")
-	}
-	if _, ok := ml.gptstablelmmodels[modelName]; ok {
-		log.Debug().Msgf("Model is GPTStableLM: %s", modelName)
-		return nil, fmt.Errorf("this model is a GPTStableLM one")
-	}
-
-	// Load the model and keep it in memory for later use
-	modelFile := filepath.Join(ml.modelPath, modelName)
-	log.Debug().Msgf("Loading model in memory from file: %s", modelFile)
-
-	model, err := llama.New(modelFile, opts...)
-	if err != nil {
-		return nil, err
-	}
-
-	// If there is a prompt template, load it
-	if err := ml.loadTemplateIfExists(modelName, modelFile); err != nil {
-		return nil, err
-	}
-
-	ml.models[modelName] = model
-	return model, err
-}
--- a/prompt-templates/alpaca.tmpl
+++ b/prompt-templates/alpaca.tmpl
@ -1,6 +0,0 @@
-Below is an instruction that describes a task. Write a response that appropriately completes the request.
-
-### Instruction:
-{{.Input}}
-
-### Response:
--- a/prompt-templates/ggml-gpt4all-j.tmpl
+++ b/prompt-templates/ggml-gpt4all-j.tmpl
@ -1,4 +0,0 @@
-The prompt below is a question to answer, a task to complete, or a conversation to respond to; decide which and write an appropriate response.
-### Prompt:
-{{.Input}}
-### Response:
--- a/prompt-templates/koala.tmpl
+++ b/prompt-templates/koala.tmpl
@ -1 +0,0 @@
-BEGINNING OF CONVERSATION: USER: {{.Input}} GPT:
--- a/prompt-templates/vicuna.tmpl
+++ b/prompt-templates/vicuna.tmpl
@ -1,6 +0,0 @@
-Below is an instruction that describes a task. Write a response that appropriately completes the request.
-
-### Instruction:
-{{.Input}}
-
-### Response:
--- a/renovate.json
+++ b/renovate.json
@ -1,17 +0,0 @@
-{
-  "$schema": "https://docs.renovatebot.com/renovate-schema.json",
-  "extends": [
-    "config:base"
-  ],
-  "regexManagers": [
-    {
-      "fileMatch": [
-        "^Makefile$"
-      ],
-      "matchStrings": [
-        "#\\s*renovate:\\s*datasource=(?<datasource>.*?) depName=(?<depName>.*?)( datasourceTemplate=(?<datasourceTemplate>.*?))?( packageNameTemplate=(?<packageNameTemplate>.*?))?( depNameTemplate=(?<depNameTemplate>.*?))?( valueTemplate=(?<currentValueTemplate>.*?))?( versioning=(?<versioning>.*?))?\\s+.+_VERSION=(?<currentValue>.*?)\\s"
-      ],
-      "versioningTemplate": "{{#if versioning}}{{versioning}}{{/if}}"
-    }
-  ]
-}
				`@ -1 +0,0 @@`
				`BEGINNING OF CONVERSATION: USER: {{.Input}} GPT:`