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SciPhi Mistral 7B 32K by SciPhi

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SciPhi Mistral 7B 32K is an open-source language model by SciPhi. Features: 7b LLM, VRAM: 29GB, Context: 32K, License: mit, LLM Explorer Score: 0.11.

  Arxiv:2301.13688   Arxiv:2306.02707   Deploy:azure   Endpoints compatible   Mistral   Pytorch   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k 

SciPhi Mistral 7B 32K Benchmarks

LLME Score: 0.11332
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 (SciPhi/SciPhi-Mistral-7B-32k)
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SciPhi Mistral 7B 32K Parameters and Internals

Model Type 
Transformer-based model
Use Cases 
Areas:
scientific reasoning, educational abilities
Additional Notes 
The objective was to increase the model's scientific reasoning and educational abilities. For best results, follow the Alpaca prompting guidelines. SciPhi-AI is available via a free hosted API, though the exposed model can vary.
Training Details 
Data Sources:
regular instruction tuning data, synthetic textbooks
Data Volume:
more than 1 billion tokens
Methodology:
fine-tuning over four epochs
Model Architecture:
Transformer with Grouped-Query Attention, Sliding-Window Attention, and Byte-fallback BPE tokenizer
LLM NameSciPhi Mistral 7B 32K
Repository 🤗https://huggingface.co/SciPhi/SciPhi-Mistral-7B-32k 
Model Size7b
Required VRAM29 GB
Updated2026-03-06
MaintainerSciPhi
Model Typemistral
Model Files  9.9 GB: 1-of-3   10.0 GB: 2-of-3   9.1 GB: 3-of-3
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.35.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32

Quantized Models of the SciPhi Mistral 7B 32K

Model
Likes
Downloads
VRAM
SciPhi Mistral 7B 32K GGUF151593 GB
SciPhi Mistral 7B 32K GPTQ434 GB
SciPhi Mistral 7B 32K AWQ4114 GB

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Context / RAM
Downloads
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SpydazWeb AI HumanAI 002512K / 14.4 GB181
...daz Web AI ChatML 512K Project512K / 14.5 GB120
MegaBeam Mistral 7B 300K282K / 14.4 GB377916
MegaBeam Mistral 7B 300K282K / 14.4 GB808216
Hebrew Mistral 7B 200K256K / 30 GB125115
Astral 256K 7B V2250K / 14.4 GB50
Astral 256K 7B250K / 14.4 GB50
Note: green Score (e.g. "73.2") means that the model is better than SciPhi/SciPhi-Mistral-7B-32k.

Rank the SciPhi Mistral 7B 32K Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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