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Liberated Miqu 70B 4.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Liberated Miqu 70B 4.0bpw H6 EXL2   URL Share it on

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  4-bit   70b   Autotrain compatible Base model:152334h/miqu-1-70b-... Base model:quantized:152334h/m...   Conversational   Dataset:abacusai/systemchat   En   Endpoints compatible   Exl2   Liberated   Llama   Miqu   Pytorch   Quantized   Region:us   Sharded   Tensorflow   Uncensored
Model Card on HF 🤗: https://huggingface.co/LoneStriker/Liberated-Miqu-70B-4.0bpw-h6-exl2 

Liberated Miqu 70B 4.0bpw H6 EXL2 Benchmarks

LLME Score: 0.18113
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Liberated Miqu 70B 4.0bpw H6 EXL2 (LoneStriker/Liberated-Miqu-70B-4.0bpw-h6-exl2)

Liberated Miqu 70B 4.0bpw H6 EXL2 Parameters and Internals

Supported Languages 
en (unknown proficiency)
Training Details 
Data Sources:
abacusai/SystemChat
Methodology:
fine-tuning
Hardware Used:
2xA100 GPUs
LLM NameLiberated Miqu 70B 4.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/Liberated-Miqu-70B-4.0bpw-h6-exl2 
Base Model(s)  Miqu 1 70B Sf   152334H/miqu-1-70b-sf
Model Size70b
Required VRAM35 GB
Updated2024-12-23
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-5   8.5 GB: 2-of-5   8.6 GB: 3-of-5   8.5 GB: 4-of-5   0.9 GB: 5-of-5
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32764
Model Max Length32764
Transformers Version4.38.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typebfloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/Liberated-Miqu-70B-4.0bpw-h6-exl2.

Rank the Liberated Miqu 70B 4.0bpw H6 EXL2 Capabilities

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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