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Smaug Llama 3 70B Instruct Bpw3 EXL2 by blockblockblock

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  Merged Model   Arxiv:2402.13228   3-bit   Autotrain compatible   Conversational   Dataset:aqua rat Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Endpoints compatible   Exl2   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/blockblockblock/Smaug-Llama-3-70B-Instruct-bpw3-exl2 

Smaug Llama 3 70B Instruct Bpw3 EXL2 Benchmarks

LLME Score: 0.18939
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smaug Llama 3 70B Instruct Bpw3 EXL2 (blockblockblock/Smaug-Llama-3-70B-Instruct-bpw3-exl2)

Smaug Llama 3 70B Instruct Bpw3 EXL2 Parameters and Internals

Additional Notes 
This model was built using a new Smaug recipe for improving performance on real-world multi-turn conversations.
LLM NameSmaug Llama 3 70B Instruct Bpw3 EXL2
Repository 🤗https://huggingface.co/blockblockblock/Smaug-Llama-3-70B-Instruct-bpw3-exl2 
Base Model(s)  Smaug Llama 3 70B Instruct 32K   abacusai/Smaug-Llama-3-70B-Instruct-32K
Merged ModelYes
Model Size70b
Required VRAM28.6 GB
Updated2025-02-05
Maintainerblockblockblock
Model Typellama
Instruction-BasedYes
Model Files  8.5 GB: 1-of-4   8.6 GB: 2-of-4   8.5 GB: 3-of-4   3.0 GB: 4-of-4
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|end_of_text|>
Vocabulary Size128256
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than blockblockblock/Smaug-Llama-3-70B-Instruct-bpw3-exl2.

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Release v20241227
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