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Wolfram Miqu 1 120B 2.4bpw H6 EXL2 by LoneStriker

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Wolfram Miqu 1 120B 2.4bpw H6 EXL2 is an open-source language model by LoneStriker. Features: 70b LLM, VRAM: 36.7GB, Context: 31K, Quantized, LLM Explorer Score: 0.12.

Base model:152334h/miqu-1-70b-... Base model:finetune:152334h/mi...   Conversational   De   En   Endpoints compatible   Es   Exl2   Fr   It   Llama   Merge   Mergekit   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-2.4bpw-h6-exl2 

Wolfram Miqu 1 120B 2.4bpw H6 EXL2 Benchmarks

LLME Score: 0.11803
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Wolfram Miqu 1 120B 2.4bpw H6 EXL2 (LoneStriker/wolfram_miqu-1-120b-2.4bpw-h6-exl2)
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Wolfram Miqu 1 120B 2.4bpw H6 EXL2 Parameters and Internals

Additional Notes 
Includes various EXL2 and GGUF quantization models.
Supported Languages 
en (proficient), de (proficient), fr (proficient), es (proficient), it (proficient)
Training Details 
Methodology:
created by interleaving layers of models using mergekit
Context Length:
32764
Model Architecture:
Frankenmerge of miqu-1-70b
Input Output 
Input Format:
Mistral ~~[INST] {prompt} [/INST]
LLM NameWolfram Miqu 1 120B 2.4bpw H6 EXL2
Repository 🤗https://huggingface.co/LoneStriker/wolfram_miqu-1-120b-2.4bpw-h6-exl2 
Base Model(s)  Miqu 1 70B Sf   152334H/miqu-1-70b-sf
Model Size70b
Required VRAM36.7 GB
Updated2026-03-29
MaintainerLoneStriker
Model Typellama
Model Files  8.6 GB: 1-of-5   8.6 GB: 2-of-5   8.6 GB: 3-of-5   8.5 GB: 4-of-5   2.4 GB: 5-of-5
Supported Languagesen de fr es it
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
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/wolfram_miqu-1-120b-2.4bpw-h6-exl2.

Rank the Wolfram Miqu 1 120B 2.4bpw H6 EXL2 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
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