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Miqu 6B Truthy by vicgalle

 »  All LLMs  »  vicgalle  »  Miqu 6B Truthy   URL Share it on

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  Autotrain compatible   Conversational Dataset:jondurbin/truthy-dpo-v...   Endpoints compatible   Llama   Miqu   Model-index   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/vicgalle/Miqu-6B-truthy 

Miqu 6B Truthy Benchmarks

ARC: 27.65 vs 96.7 (so35)-71.4%
HellaSwag: 26.71 vs 95.3 (gpt4)-72%
MMLU: 27.04 vs 88.3 (so35)-69.4%
TruthfulQA: 50.63 vs 59 (gpt4)-14.2%
WinoGrande: 49.64 vs 87.5 (gpt4)-43.3%
LLME Score: 0.18139
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Miqu 6B Truthy (vicgalle/Miqu-6B-truthy)
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Miqu 6B Truthy Parameters and Internals

Model Type 
text-generation
Additional Notes 
Miqu-6B-truthy model aims to experiment with a truthfully oriented text generation approach, standing distinct from typical models.
LLM NameMiqu 6B Truthy
Repository 🤗https://huggingface.co/vicgalle/Miqu-6B-truthy 
Model Size6b
Required VRAM11.3 GB
Updated2025-11-16
Maintainervicgalle
Model Typellama
Model Files  4.7 GB: 1-of-3   4.7 GB: 2-of-3   1.9 GB: 3-of-3
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32764
Model Max Length32764
Transformers Version4.36.0
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 vicgalle/Miqu-6B-truthy.

Rank the Miqu 6B Truthy 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  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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