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Mistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Mistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed   URL Share it on

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  4-bit   4bit   Autotrain compatible   Awq Base model:mistralai/mistral-7... Base model:quantized:mistralai...   Conversational   Endpoints compatible   Instruct   Mistral   Pruna-ai   Quantized   Region:us   Safetensors

Mistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed Benchmarks

LLME Score: 0.21376
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Mistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed Parameters and Internals

Model Type 
Causal LM
Additional Notes 
Model is compressed with awq. Uses safetensors format. Calibration data: WikiText.
Input Output 
Performance Tips:
Efficiency results may vary. Test in use-case conditions to know if the smashed model benefits you.
LLM NameMistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-AWQ-4bit-smashed 
Base Model(s)  mistralai/Mistral-7B-Instruct-v0.2   mistralai/Mistral-7B-Instruct-v0.2
Model Size7b
Required VRAM4.2 GB
Updated2024-11-21
MaintainerPrunaAI
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Mistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed (PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-AWQ-4bit-smashed)

Best Alternatives to Mistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB50
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB1062522
Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB9171941
Mistral 7B Instruct V0.1 AWQ32K / 4.2 GB21561137
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB440
...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB60
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB50
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB1751
Mistral 7B Instruct 32K AWQ32K / 4.2 GB71
Breeze 7B Instruct V1.0 AWQ32K / 4.6 GB71
Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/mistralai-Mistral-7B-Instruct-v0.2-AWQ-4bit-smashed.

Rank the Mistralai Mistral 7B Instruct V0.2 AWQ 4bit Smashed 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 v20241110
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