Mistral 7B Instruct V0.2 4bit AWQ by alokabhishek

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Mistral 7B Instruct V0.2 4bit AWQ 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 V0.2 4bit AWQ (alokabhishek/Mistral-7B-Instruct-v0.2-4bit-AWQ)
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Mistral 7B Instruct V0.2 4bit AWQ Parameters and Internals

Model Type 
text-generation
Additional Notes 
This model is a 4-bit quantized version using Activation-aware Weight Quantization (AWQ) for LLM Compression and Acceleration.
LLM NameMistral 7B Instruct V0.2 4bit AWQ
Repository ๐Ÿค—https://huggingface.co/alokabhishek/Mistral-7B-Instruct-v0.2-4bit-AWQ 
Base Model(s)  redav/Mistral-7B-Instruct-v0.2-email-a   redav/Mistral-7B-Instruct-v0.2-email-a
Model Size7b
Required VRAM4.2 GB
Updated2025-08-20
Maintaineralokabhishek
Model Typemistral
Instruction-BasedYes
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Mistral 7B Instruct V0.2 AWQ32K / 4.2 GB80
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...reeze 7B 32K Instruct V1.0 AWQ32K / 4.7 GB90
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Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB50
...Instruct V0.2 AWQ 4bit Smashed32K / 4.2 GB41
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Mistral 7B Instruct 32K AWQ32K / 4.2 GB191
Mistral 7B Instruct V0.3 AWQ32K / 4.2 GB71
Note: green Score (e.g. "73.2") means that the model is better than alokabhishek/Mistral-7B-Instruct-v0.2-4bit-AWQ.

Rank the Mistral 7B Instruct V0.2 4bit 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  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124