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L3.1 8B Slush by crestf411

 »  All LLMs  »  crestf411  »  L3.1 8B Slush   URL Share it on

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  Arxiv:2402.12354   Arxiv:2403.00946   Arxiv:2410.21228   Autotrain compatible Base model:finetune:meta-llama... Base model:meta-llama/llama-3....   Conversational Dataset:anthracite-org/c2 logs... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/kalo-op... Dataset:anthracite-org/nopm cl...   Dataset:crestf411/limarp-ds Dataset:gryphe/sonnet3.5-charc...   Endpoints compatible   Instruct   Llama   Not-for-all-audiences   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/crestf411/L3.1-8B-Slush 

L3.1 8B Slush Benchmarks

LLME Score: 0.22163
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
L3.1 8B Slush (crestf411/L3.1-8B-Slush)

L3.1 8B Slush Parameters and Internals

LLM NameL3.1 8B Slush
Repository 🤗https://huggingface.co/crestf411/L3.1-8B-Slush 
Base Model(s)  meta-llama/Llama-3.1-8B-Instruct   meta-llama/Llama-3.1-8B-Instruct
Model Size8b
Required VRAM16.1 GB
Updated2024-11-22
Maintainercrestf411
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
Model ArchitectureLlamaForCausalLM
Licensellama3
Context Length131072
Model Max Length131072
Transformers Version4.42.3
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than crestf411/L3.1-8B-Slush.

Rank the L3.1 8B Slush Capabilities

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227
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