SciPhi Mistral 7B 32K AWQ by TheBloke

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  Arxiv:2301.13688   Arxiv:2306.02707   4-bit   Autotrain compatible   Awq Base model:quantized:sciphi/sc... Base model:sciphi/sciphi-mistr...   Mistral   Quantized   Region:us   Safetensors

SciPhi Mistral 7B 32K AWQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
SciPhi Mistral 7B 32K AWQ (TheBloke/SciPhi-Mistral-7B-32k-AWQ)
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SciPhi Mistral 7B 32K AWQ Parameters and Internals

Model Type 
mistral
Additional Notes 
Model was quantized by TheBloke using AWQ method for faster Transformers-based inference. Supports 4-bit quantization.
Training Details 
Data Sources:
regular instruction tuning data, synthetic textbooks
Data Volume:
more than 1 billion tokens
Methodology:
fine-tuning process over four epochs
Model Architecture:
Transformer-based model with features like Grouped-Query Attention and Sliding-Window Attention
LLM NameSciPhi Mistral 7B 32K AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/SciPhi-Mistral-7B-32k-AWQ 
Model NameSciPhi Mistral 7B 32K
Model CreatorSciPhi
Base Model(s)  SciPhi Mistral 7B 32K   SciPhi/SciPhi-Mistral-7B-32k
Model Size7b
Required VRAM4.2 GB
Updated2025-09-13
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/SciPhi-Mistral-7B-32k-AWQ.

Rank the SciPhi Mistral 7B 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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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124