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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

Llama 7B Logicot Benchmarks

LLME Score: 0.13753
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 Parameters and Internals

LLM NameLlama 7B Logicot
Repository 🤗https://huggingface.co/datatune/llama-7b-logicot 
Model Size7b
Required VRAM1.1 GB
Updated2024-09-08
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
Llama 7B Logicot (datatune/llama-7b-logicot)

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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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Release v2024072803
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