Mistral 7B Instruct 32K GPTQ INT8 by Moses25

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  8-bit   8bit   Autotrain compatible   Endpoints compatible   Gptq   Instruct   Mistral   Quantized   Region:us

Mistral 7B Instruct 32K GPTQ INT8 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Instruct 32K GPTQ INT8 (Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8)

Mistral 7B Instruct 32K GPTQ INT8 Parameters and Internals

Model Type 
Mistral, Llama
Input Output 
Input Format:
JSON list of conversations
Accepted Modalities:
text
Output Format:
String
LLM NameMistral 7B Instruct 32K GPTQ INT8
Repository ๐Ÿค—https://huggingface.co/Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8 
Model Size7b
Required VRAM7.7 GB
Updated2025-01-22
MaintainerMoses25
Model Typemistral
Instruction-BasedYes
Model Files  7.7 GB
GPTQ QuantizationYes
Quantization Typegptq|8bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8.

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