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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
Model Card on HF 🤗: https://huggingface.co/Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8 

Mistral 7B Instruct 32K GPTQ INT8 Benchmarks

LLME Score: 0.19434
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 🤗https://huggingface.co/Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8 
Model Size7b
Required VRAM7.7 GB
Updated2025-02-05
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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Mistral 7B Instruct V0.2 GPTQ32K / 4.2 GB39163850
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Mistral 7B Instruct V0.3 GPTQ32K / 4.2 GB780
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...stral 7B Instruct V0.3 GPTQ 4B32K / 4.2 GB80
...stral 7B Instruct V0.3 GPTQ 8B32K / 7.7 GB50
Mistral 7B Instruct V0.1 GPTQ32K / 4.2 GB402279
Breeze 7B Instruct V0.1 GPTQ32K / 4.7 GB3762
...nstruct V0.2 Neural Story GPTQ32K / 4.6 GB81
Note: green Score (e.g. "73.2") means that the model is better than Moses25/Mistral-7B-Instruct-32K-GPTQ-INT8.

Rank the Mistral 7B Instruct 32K GPTQ INT8 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241227
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