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Mistral 7B Sci Pretrain by bany1111

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Mistral 7B Sci Pretrain is an open-source language model by bany1111. Features: 7b LLM, VRAM: 4.1GB, Context: 32K, License: apache-2.0, Quantized, LLM Explorer Score: 0.17.

  4-bit   4bit   Autotrain compatible Base model:quantized:unsloth/m... Base model:unsloth/mistral-7b-...   Bitsandbytes   En   Endpoints compatible   Mistral   Quantized   Region:us   Safetensors   Sft   Trl   Unsloth
Model Card on HF 🤗: https://huggingface.co/bany1111/mistral-7b-sci-pretrain 

Mistral 7B Sci Pretrain Benchmarks

LLME Score: 0.17369
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Mistral 7B Sci Pretrain (bany1111/mistral-7b-sci-pretrain)
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Mistral 7B Sci Pretrain Parameters and Internals

LLM NameMistral 7B Sci Pretrain
Repository 🤗https://huggingface.co/bany1111/mistral-7b-sci-pretrain 
Base Model(s)  Mistral 7B Bnb 4bit   unsloth/mistral-7b-bnb-4bit
Model Size7b
Required VRAM4.1 GB
Updated2025-08-10
Maintainerbany1111
Model Typemistral
Model Files  4.1 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.47.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

Best Alternatives to Mistral 7B Sci Pretrain

Best Alternatives
Context / RAM
Downloads
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...t 3.5 0106 128K 4.0bpw H6 EXL2128K / 3.9 GB41
...t 3.5 0106 128K 8.0bpw H8 EXL2128K / 7.4 GB11
Mistral 7B V0.3 Bnb 4bit32K / 4.1 GB35143322
Mistral 7B Instruct V0.2 Fp1632K / 14.4 GB260
Mistral 7B Instruct V0.2 4bit32K / 4.3 GB1711
...tral 7B Instruct V0.3 Bnb 4bit32K / 4.1 GB3043728
Mistral 7B Instruct V0.2 8bit32K / 7.6 GB41
...tral 7B Instruct V0.2 Bnb 4bit32K / 4.1 GB1275236
Mixtral V0.3 Full 16bit32K / 14.5 GB60
Mistral 7B Instruct V0.3 4bit32K / 4.1 GB250538
Note: green Score (e.g. "73.2") means that the model is better than bany1111/mistral-7b-sci-pretrain.

Rank the Mistral 7B Sci Pretrain 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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