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Prm800k Llama Fulltune by Daewon0808

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  Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational   Endpoints compatible   Generated from trainer   Instruct   Llama   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Daewon0808/prm800k_llama_fulltune 

Prm800k Llama Fulltune Benchmarks

LLME Score: 0.2307
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Prm800k Llama Fulltune (Daewon0808/prm800k_llama_fulltune)

Prm800k Llama Fulltune Parameters and Internals

LLM NamePrm800k Llama Fulltune
Repository 🤗https://huggingface.co/Daewon0808/prm800k_llama_fulltune 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2025-04-23
MaintainerDaewon0808
Model Typellama
Instruction-BasedYes
Model Files  5.0 GB: 1-of-4   5.0 GB: 2-of-4   4.9 GB: 3-of-4   1.2 GB: 4-of-4   0.0 GB
Model ArchitectureLlamaForCausalLM
Licensellama3.1
Context Length131072
Model Max Length131072
Transformers Version4.46.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|eot_id|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than Daewon0808/prm800k_llama_fulltune.

Rank the Prm800k Llama Fulltune Capabilities

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Instruction Following and Task Automation  
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Release v20241227
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