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SciPhi Mistral 7B 32K GPTQ by TheBloke

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SciPhi Mistral 7B 32K GPTQ is an open-source language model by TheBloke. Features: 7b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.1.

  Arxiv:2301.13688   Arxiv:2306.02707   4-bit Base model:quantized:sciphi/sc... Base model:sciphi/sciphi-mistr...   Gptq   Mistral   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/SciPhi-Mistral-7B-32k-GPTQ 

SciPhi Mistral 7B 32K GPTQ Benchmarks

LLME Score: 0.10211
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 GPTQ (TheBloke/SciPhi-Mistral-7B-32k-GPTQ)
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SciPhi Mistral 7B 32K GPTQ Parameters and Internals

Model Type 
mistral
Training Details 
Data Volume:
over 1 billion tokens
Methodology:
fine-tuned from Mistral-7B-v0.1
Model Architecture:
Transformer-based model with Grouped-Query Attention and Sliding-Window Attention. Byte-fallback BPE tokenizer.
LLM NameSciPhi Mistral 7B 32K GPTQ
Repository 🤗https://huggingface.co/TheBloke/SciPhi-Mistral-7B-32k-GPTQ 
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
Updated2026-03-29
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
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-GPTQ.

Rank the SciPhi Mistral 7B 32K GPTQ Capabilities

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Instruction Following and Task Automation  
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