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Atomgpt Mistral Tc Supercon by knc6

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Atomgpt Mistral Tc Supercon is an open-source language model by knc6. Features: 7b LLM, VRAM: 0.2GB, License: mit, Quantized, LLM Explorer Score: 0.15.

  4bit   Adapter   Atomgpt Base model:adapter:unsloth/mis... Base model:unsloth/mistral-7b-...   Chemistry   En   Finetuned   Lora   Peft   Quantized   Region:us   Safetensors   Superconductors
Model Card on HF 🤗: https://huggingface.co/knc6/atomgpt_mistral_tc_supercon 

Atomgpt Mistral Tc Supercon Benchmarks

LLME Score: 0.14668
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Atomgpt Mistral Tc Supercon (knc6/atomgpt_mistral_tc_supercon)
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Atomgpt Mistral Tc Supercon Parameters and Internals

Model Type 
text-generation
Additional Notes 
Fine-tune models for atomic structure generation of superconductor candidate materials.
Supported Languages 
en (proficient)
LLM NameAtomgpt Mistral Tc Supercon
Repository 🤗https://huggingface.co/knc6/atomgpt_mistral_tc_supercon 
Base Model(s)  Mistral 7B Bnb 4bit   unsloth/mistral-7b-bnb-4bit
Model Size7b
Required VRAM0.2 GB
Updated2026-05-02
Maintainerknc6
Model Files  0.2 GB   0.0 GB
Supported Languagesen
Quantization Type4bit
Model ArchitectureAdapter
Licensemit
Model Max Length32768
Is Biasednone
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
PEFT TypeLORA
LoRA ModelYes
PEFT Target Moduleso_proj|q_proj|v_proj|up_proj|k_proj|gate_proj|down_proj
LoRA Alpha16
LoRA Dropout0
R Param16

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Rank the Atomgpt Mistral Tc Supercon 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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