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Mistral 7B Instruct 32K AWQ by Moses25

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  4-bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/Moses25/Mistral-7B-Instruct-32K-AWQ 

Mistral 7B Instruct 32K AWQ Benchmarks

LLME Score: 0.20295
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 AWQ (Moses25/Mistral-7B-Instruct-32K-AWQ)

Mistral 7B Instruct 32K AWQ Parameters and Internals

Model Type 
Causal language model
Input Output 
Accepted Modalities:
text
Output Format:
text
LLM NameMistral 7B Instruct 32K AWQ
Repository 🤗https://huggingface.co/Moses25/Mistral-7B-Instruct-32K-AWQ 
Model Size7b
Required VRAM4.2 GB
Updated2024-12-21
MaintainerMoses25
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.41.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB100
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB698312
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB9935741
Mistral 7B Instruct V0.1 AWQ32K / 4.2 GB17633437
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB3481
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB240
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB60
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB111
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB181
Note: green Score (e.g. "73.2") means that the model is better than Moses25/Mistral-7B-Instruct-32K-AWQ.

Rank the Mistral 7B Instruct 32K AWQ 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 v20241217
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