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Mistral Ft Optimized 1227 AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:openpipe/mistral-ft... Base model:quantized:openpipe/...   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/mistral-ft-optimized-1227-AWQ 

Mistral Ft Optimized 1227 AWQ Benchmarks

LLME Score: 0.15642
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral Ft Optimized 1227 AWQ (TheBloke/mistral-ft-optimized-1227-AWQ)

Mistral Ft Optimized 1227 AWQ Parameters and Internals

Model Type 
mistral
Additional Notes 
The model is an AWQ quantized version, offering efficient low-bit weight quantization for better inference speed while maintaining accuracy.
LLM NameMistral Ft Optimized 1227 AWQ
Repository 🤗https://huggingface.co/TheBloke/mistral-ft-optimized-1227-AWQ 
Model NameMistral FT Optimized 1227
Model CreatorOpenPipe
Base Model(s)  Mistral Ft Optimized 1227   OpenPipe/mistral-ft-optimized-1227
Model Size1.2b
Required VRAM4.2 GB
Updated2025-02-05
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/mistral-ft-optimized-1227-AWQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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