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Miqu 1 103B 3.0bpw H6 EXL2 by LoneStriker

 »  All LLMs  »  LoneStriker  »  Miqu 1 103B 3.0bpw H6 EXL2   URL Share it on

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  Merged Model   Autotrain compatible Base model:152334h/miqu-1-70b-... Base model:finetune:152334h/mi...   Conversational   De   En   Endpoints compatible   Es   Exl2   Fr   It   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/miqu-1-103b-3.0bpw-h6-exl2 

Miqu 1 103B 3.0bpw H6 EXL2 Benchmarks

LLME Score: 0.17887
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Miqu 1 103B 3.0bpw H6 EXL2 (LoneStriker/miqu-1-103b-3.0bpw-h6-exl2)

Miqu 1 103B 3.0bpw H6 EXL2 Parameters and Internals

Model Type 
transformers
Additional Notes 
This model is inspired by and created using a variety of merge and quantization methods, involving contributions from different developers and teams.
Supported Languages 
en (high), de (high), fr (high), es (high), it (high)
Training Details 
Methodology:
This is a 103b frankenmerge of miqu-1-70b created by interleaving layers of miqu-1-70b-sf with itself using mergekit.
Context Length:
32768
Model Architecture:
Layers: 120
Input Output 
Input Format:
Mistral ~~[INST] {prompt} [/INST]
Accepted Modalities:
text
LLM NameMiqu 1 103B 3.0bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/miqu-1-103b-3.0bpw-h6-exl2 
Base Model(s)  Miqu 1 70B Sf   152334H/miqu-1-70b-sf
Merged ModelYes
Model Size70b
Required VRAM39.2 GB
Updated2024-12-23
MaintainerLoneStriker
Model Typellama
Model Files  8.5 GB: 1-of-5   8.5 GB: 2-of-5   8.5 GB: 3-of-5   8.6 GB: 4-of-5   5.1 GB: 5-of-5
Supported Languagesen de fr es it
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/miqu-1-103b-3.0bpw-h6-exl2.

Rank the Miqu 1 103B 3.0bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217
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