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models(gallery): add l3.1-8b-niitama-v1.1-iq-imatrix (#3550)

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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Ettore Di Giacinto 2024-09-16 13:06:07 +02:00 committed by GitHub
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gallery/index.yaml
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@ -675,6 +675,29 @@
- filename: Azure_Dusk-v0.2-Q4_K_M-imat.gguf
sha256: c03a670c00976d14c267a0322374ed488b2a5f4790eb509136ca4e75cbc10cf4
uri: huggingface://Lewdiculous/Azure_Dusk-v0.2-GGUF-IQ-Imatrix/Azure_Dusk-v0.2-Q4_K_M-imat.gguf
- !!merge <<: *llama31
name: "l3.1-8b-niitama-v1.1-iq-imatrix"
icon: https://cdn-uploads.huggingface.co/production/uploads/65d4cf2693a0a3744a27536c/2Q5ky8TvP0vLS1ulMXnrn.png
urls:
- https://huggingface.co/Sao10K/L3.1-8B-Niitama-v1.1
- https://huggingface.co/Lewdiculous/L3.1-8B-Niitama-v1.1-GGUF-IQ-Imatrix
description: |
GGUF-IQ-Imatrix quants for Sao10K/L3.1-8B-Niitama-v1.1
Here's the subjectively superior L3 version: L3-8B-Niitama-v1
An experimental model using experimental methods.
More detail on it:
Tamamo and Niitama are made from the same data. Literally. The only thing that's changed is how theyre shuffled and formatted. Yet, I get wildly different results.
Interesting, eh? Feels kinda not as good compared to the l3 version, but it's aight.
overrides:
parameters:
model: L3.1-8B-Niitama-v1.1-Q4_K_M-imat.gguf
files:
- filename: L3.1-8B-Niitama-v1.1-Q4_K_M-imat.gguf
sha256: 524163bd0f1d43c9284b09118abcc192f3250b13dd3bb79d60c28321108b6748
uri: huggingface://Lewdiculous/L3.1-8B-Niitama-v1.1-GGUF-IQ-Imatrix/L3.1-8B-Niitama-v1.1-Q4_K_M-imat.gguf
- &deepseek
## Deepseek
url: "github:mudler/LocalAI/gallery/deepseek.yaml@master"