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Midnight Miqu 70B V1.5 4bit by cecibas

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  4-bit   4bit   Autotrain compatible   Awq   Conversational   Endpoints compatible   Llama   Pytorch   Quantized   Region:us   Sharded
Model Card on HF 🤗: https://huggingface.co/cecibas/Midnight-Miqu-70B-v1.5-4bit 

Midnight Miqu 70B V1.5 4bit Benchmarks

LLME Score: 0.29778
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Midnight Miqu 70B V1.5 4bit (cecibas/Midnight-Miqu-70B-v1.5-4bit)

Midnight Miqu 70B V1.5 4bit Parameters and Internals

Model Type 
awq quant
LLM NameMidnight Miqu 70B V1.5 4bit
Repository 🤗https://huggingface.co/cecibas/Midnight-Miqu-70B-v1.5-4bit 
Base Model(s)  sophosympatheia/Midnight-Miqu-70B-v1.5   sophosympatheia/Midnight-Miqu-70B-v1.5
Model Size70b
Required VRAM36.7 GB
Updated2025-02-22
Maintainercecibas
Model Typellama
Model Files  1.9 GB: 1-of-19   1.9 GB: 2-of-19   1.9 GB: 3-of-19   2.0 GB: 4-of-19   1.9 GB: 5-of-19   1.9 GB: 6-of-19   2.0 GB: 7-of-19   1.9 GB: 8-of-19   1.9 GB: 9-of-19   2.0 GB: 10-of-19   1.9 GB: 11-of-19   1.9 GB: 12-of-19   2.0 GB: 13-of-19   1.9 GB: 14-of-19   1.9 GB: 15-of-19   2.0 GB: 16-of-19   1.9 GB: 17-of-19   1.9 GB: 18-of-19   2.0 GB: 19-of-19
Quantization Type4bit
Model ArchitectureLlamaForCausalLM
Licenseunknown
Context Length32764
Model Max Length32764
Transformers Version4.41.1
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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