Etheria 55B V0.1 3.0bpw H6 EXL2 by LoneStriker

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  Merged Model   Arxiv:2306.01708   Arxiv:2311.03099   Autotrain compatible   Endpoints compatible   Exl2   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Etheria 55B V0.1 3.0bpw H6 EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Etheria 55B V0.1 3.0bpw H6 EXL2 (LoneStriker/Etheria-55b-v0.1-3.0bpw-h6-exl2)

Etheria 55B V0.1 3.0bpw H6 EXL2 Parameters and Internals

Model Type 
merge, multimodal
Additional Notes 
Attempted functional goliath style merge with a theoretical context length of 200k. Starting recommended at 32k to test outcomes.
Training Details 
Data Volume:
200k
Methodology:
Dare_ties merge
Context Length:
200000
Model Architecture:
Merged-Etheria-55b, Sacr-Etheria-55b
LLM NameEtheria 55B V0.1 3.0bpw H6 EXL2
Repository ๐Ÿค—https://huggingface.co/LoneStriker/Etheria-55b-v0.1-3.0bpw-h6-exl2 
Merged ModelYes
Model Size55b
Required VRAM21.9 GB
Updated2025-02-22
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-3   8.6 GB: 2-of-3   4.7 GB: 3-of-3
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length200000
Model Max Length200000
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size64002
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Etheria-55b-v0.1-3.0bpw-h6-exl2.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227