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Llama3 Finetuned For Civivox by Adeptschneider

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Llama3 Finetuned For Civivox Benchmarks

LLME Score: 0.26442
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Llama3 Finetuned For Civivox Parameters and Internals

LLM NameLlama3 Finetuned For Civivox
Repository 🤗https://huggingface.co/Adeptschneider/llama3-finetuned-for-civivox 
Base Model(s)  unsloth/llama-3.2-3b-bnb-4bit   unsloth/llama-3.2-3b-bnb-4bit
Model Size3b
Required VRAM6.5 GB
Updated2024-10-16
MaintainerAdeptschneider
Model Typellama
Model Files  5.0 GB: 1-of-2   1.5 GB: 2-of-2
Supported Languagessw
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.46.0.dev0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typebfloat16
Llama3 Finetuned For Civivox (Adeptschneider/llama3-finetuned-for-civivox)

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Note: green Score (e.g. "73.2") means that the model is better than Adeptschneider/llama3-finetuned-for-civivox.

Rank the Llama3 Finetuned For Civivox Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803
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