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Smaug 34B V0.1 4.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Smaug 34B V0.1 4.0bpw H6 EXL2   URL Share it on

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  Merged Model   Autotrain compatible Base model:finetune:jondurbin/... Base model:jondurbin/bagel-34b...   Conversational   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Smaug-34B-v0.1-4.0bpw-h6-exl2 

Smaug 34B V0.1 4.0bpw H6 EXL2 Benchmarks

LLME Score: 0.17569
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Smaug 34B V0.1 4.0bpw H6 EXL2 (LoneStriker/Smaug-34B-v0.1-4.0bpw-h6-exl2)

Smaug 34B V0.1 4.0bpw H6 EXL2 Parameters and Internals

Additional Notes 
This model is a finetune of jondurbin's bagel model, trained with new datasets and a new technique to be shared soon. There is no merging.
LLM NameSmaug 34B V0.1 4.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Smaug-34B-v0.1-4.0bpw-h6-exl2 
Base Model(s)  jondurbin/bagel-34b-v0.2   jondurbin/bagel-34b-v0.2
Merged ModelYes
Model Size34b
Required VRAM18 GB
Updated2024-12-21
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-3   8.5 GB: 2-of-3   0.9 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length200000
Model Max Length200000
Transformers Version4.36.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64000
Torch Data Typebfloat16

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Release v20241217
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