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Miqu 1 70B Sf GPTQ by LoneStriker

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Miqu 1 70B Sf GPTQ is an open-source language model by LoneStriker. Features: 70b LLM, VRAM: 40.7GB, Context: 31K, License: mit, Quantized, LLM Explorer Score: 0.11.

  4bit   Conversational   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/LoneStriker/miqu-1-70b-sf-GPTQ 

Miqu 1 70B Sf GPTQ Benchmarks

LLME Score: 0.11173
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Miqu 1 70B Sf GPTQ (LoneStriker/miqu-1-70b-sf-GPTQ)
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Miqu 1 70B Sf GPTQ Parameters and Internals

Model Type 
text generation
Additional Notes 
Dequantised from q5 to f16 and transposed to PyTorch; implemented with usage example.
Input Output 
Input Format:
text input with specific prompt structure
Accepted Modalities:
text
Output Format:
text
Performance Tips:
Many GPUs are recommended for use.
LLM NameMiqu 1 70B Sf GPTQ
Repository 🤗https://huggingface.co/LoneStriker/miqu-1-70b-sf-GPTQ 
Model Size70b
Required VRAM40.7 GB
Updated2026-07-04
MaintainerLoneStriker
Model Typellama
Model Files  40.7 GB
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensemit
Context Length32764
Model Max Length32764
Transformers Version4.37.1
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16

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...Midnight Miqu 70B V1.0 GPTQ32G31K / 40.7 GB322
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Note: green Score (e.g. "73.2") means that the model is better than LoneStriker/miqu-1-70b-sf-GPTQ.

Rank the Miqu 1 70B Sf GPTQ Capabilities

🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟

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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