chore(model gallery): add llama-smoltalk-3.2-1b-instruct (#4285)

Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2024-11-28 09:35:38 +01:00 committed by GitHub
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@ -704,6 +704,31 @@
- filename: Llama-Sentient-3.2-3B-Instruct.Q4_K_M.gguf
uri: huggingface://QuantFactory/Llama-Sentient-3.2-3B-Instruct-GGUF/Llama-Sentient-3.2-3B-Instruct.Q4_K_M.gguf
sha256: 3f855ce0522bfdc39fc826162ba6d89f15cc3740c5207da10e70baa3348b7812
- !!merge <<: *llama32
name: "llama-smoltalk-3.2-1b-instruct"
urls:
- https://huggingface.co/prithivMLmods/Llama-SmolTalk-3.2-1B-Instruct
- https://huggingface.co/mradermacher/Llama-SmolTalk-3.2-1B-Instruct-GGUF
description: |
The Llama-SmolTalk-3.2-1B-Instruct model is a lightweight, instruction-tuned model designed for efficient text generation and conversational AI tasks. With a 1B parameter architecture, this model strikes a balance between performance and resource efficiency, making it ideal for applications requiring concise, contextually relevant outputs. The model has been fine-tuned to deliver robust instruction-following capabilities, catering to both structured and open-ended queries.
Key Features:
Instruction-Tuned Performance: Optimized to understand and execute user-provided instructions across diverse domains.
Lightweight Architecture: With just 1 billion parameters, the model provides efficient computation and storage without compromising output quality.
Versatile Use Cases: Suitable for tasks like content generation, conversational interfaces, and basic problem-solving.
Intended Applications:
Conversational AI: Engage users with dynamic and contextually aware dialogue.
Content Generation: Produce summaries, explanations, or other creative text outputs efficiently.
Instruction Execution: Follow user commands to generate precise and relevant responses.
overrides:
parameters:
model: Llama-SmolTalk-3.2-1B-Instruct.Q4_K_M.gguf
files:
- filename: Llama-SmolTalk-3.2-1B-Instruct.Q4_K_M.gguf
sha256: 03d8d05e3821f4caa65defa82baaff658484d4405b66546431528153ceef4d9e
uri: huggingface://mradermacher/Llama-SmolTalk-3.2-1B-Instruct-GGUF/Llama-SmolTalk-3.2-1B-Instruct.Q4_K_M.gguf
- &qwen25
## Qwen2.5
name: "qwen2.5-14b-instruct"