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Llama 7B Logicot by csitfun

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  Autotrain compatible   Dataset:csitfun/logicot   En   Endpoints compatible   Llama   Logical   Pytorch   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/datatune/llama-7b-logicot 

Llama 7B Logicot Benchmarks

LLME Score: 0.105
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Llama 7B Logicot (datatune/llama-7b-logicot)

Llama 7B Logicot Parameters and Internals

Model Type 
text generation
Additional Notes 
This model performs particularly well in logical reasoning tasks but has limitations in arithmetic as indicated by GSM8K scores.
Supported Languages 
en (high)
Training Details 
Data Sources:
GPT-4 alpaca data, LogiCoT
Methodology:
instruction-tuning
Training Time:
7 days total
Hardware Used:
2 A100 GPUs
LLM NameLlama 7B Logicot
Repository 🤗https://huggingface.co/datatune/llama-7b-logicot 
Model Size7b
Required VRAM1.1 GB
Updated2025-03-13
Maintainercsitfun
Model Typellama
Model Files  3.2 GB: 1-of-9   3.0 GB: 2-of-9   2.7 GB: 3-of-9   3.0 GB: 4-of-9   2.7 GB: 5-of-9   3.0 GB: 6-of-9   2.7 GB: 7-of-9   3.0 GB: 8-of-9   2.7 GB: 9-of-9   1.1 GB: 10-of-9   0.0 GB
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Licensecc-by-sa-4.0
Context Length2048
Model Max Length2048
Transformers Version4.28.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32001
Torch Data Typefloat32

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Note: green Score (e.g. "73.2") means that the model is better than datatune/llama-7b-logicot.

Rank the Llama 7B Logicot Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Release v20241227
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