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Fireball Llama 3.1 8B Instruct V1 16bit by EpistemeAI

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  4bit   Autotrain compatible Base model:finetune:unsloth/me... Base model:unsloth/meta-llama-...   Conversational   En   Endpoints compatible   Instruct   Llama   Pytorch   Quantized   Region:us   Sharded   Trl   Unsloth

Fireball Llama 3.1 8B Instruct V1 16bit Benchmarks

LLME Score: 0.23529
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Fireball Llama 3.1 8B Instruct V1 16bit Parameters and Internals

LLM NameFireball Llama 3.1 8B Instruct V1 16bit
Repository 🤗https://huggingface.co/EpistemeAI/Fireball-Llama-3.1-8B-Instruct-v1-16bit 
Base Model(s)  unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit   unsloth/Meta-Llama-3.1-8B-Instruct-bnb-4bit
Model Size8b
Required VRAM16.1 GB
Updated2024-10-18
MaintainerEpistemeAI
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
Supported Languagesen
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Transformers Version4.44.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|finetune_right_pad_id|>
Vocabulary Size128256
Torch Data Typefloat16
Fireball Llama 3.1 8B Instruct V1 16bit (EpistemeAI/Fireball-Llama-3.1-8B-Instruct-v1-16bit)

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Rank the Fireball Llama 3.1 8B Instruct V1 16bit Capabilities

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Instruction Following and Task Automation  
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Release v2024072803
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