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ANIMA Phi Neptune Mistral 7B GPTQ by Severian

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  4-bit   Autotrain compatible   Biology   Biomimicry   Chemistry   Climate Dataset:emrgnt-cmplxty/sciphi-... Dataset:fblgit/tree-of-knowled...   Dataset:fmars/wiki stem Dataset:severian/bio-design-pr...   Dataset:severian/biomimicry   Ecology   Endpoints compatible   Fauna   Flora   Gptq   Mistral   Nature   Philosophy   Quantized   Region:us   Safetensors   Science
Model Card on HF 🤗: https://huggingface.co/Severian/ANIMA-Phi-Neptune-Mistral-7B-GPTQ 

ANIMA Phi Neptune Mistral 7B GPTQ Benchmarks

ARC: 55.97 vs 96.7 (so35)-42.1%
HellaSwag: 76.22 vs 95.3 (gpt4)-20%
MMLU: 52.89 vs 88.3 (so35)-40.1%
TruthfulQA: 59.76 vs 59 (gpt4)1.3%
WinoGrande: 73.48 vs 87.5 (gpt4)-16%
GSM8K: 14.94 vs 96.4 (so35)-84.5%
LLME Score: 0.1376
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
ANIMA Phi Neptune Mistral 7B GPTQ (Severian/ANIMA-Phi-Neptune-Mistral-7B-GPTQ)
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ANIMA Phi Neptune Mistral 7B GPTQ Parameters and Internals

Model Type 
text-generation
Use Cases 
Areas:
chemistry, biology, climate, science, philosophy, nature, ecology, biomimicry, fauna, flora
Primary Use Cases:
Biomimicry Design Process guidance
Training Details 
Data Sources:
Severian/Biomimicry, emrgnt-cmplxty/sciphi-textbooks-are-all-you-need, fmars/wiki_stem, fblgit/tree-of-knowledge, Severian/Bio-Design-Process
Data Volume:
730k data points
Methodology:
Multiple fine-tuning stages on domain-specific datasets
Training Time:
5hrs on T4 and 1hr on A100 across multiple fine-tunes
Hardware Used:
T4 Small, A100
LLM NameANIMA Phi Neptune Mistral 7B GPTQ
Repository 🤗https://huggingface.co/Severian/ANIMA-Phi-Neptune-Mistral-7B-GPTQ 
Base Model(s)  ANIMA Phi Neptune Mistral 7B   Severian/ANIMA-Phi-Neptune-Mistral-7B
Model Size7b
Required VRAM4.2 GB
Updated2025-09-23
MaintainerSeverian
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length32768
Model Max Length32768
Transformers Version4.34.0
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than Severian/ANIMA-Phi-Neptune-Mistral-7B-GPTQ.

Rank the ANIMA Phi Neptune Mistral 7B GPTQ 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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