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Miqu 1 70B Sf by 152334H

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Model Card on HF 🤗: https://huggingface.co/152334H/miqu-1-70b-sf 

Miqu 1 70B Sf Benchmarks

MMLU Pro: 35.87
GPQA: 13.42
MUSR: 17.21
BBH: 43.81
IFEval: 51.82 vs 88 (so35)-41.1%
ARC: 73.04 vs 96.7 (so35)-24.5%
HellaSwag: 88.61 vs 95.3 (gpt4)-7%
MMLU: 75.49 vs 88.3 (so35)-14.5%
TruthfulQA: 69.38 vs 59 (gpt4)17.6%
WinoGrande: 85.32 vs 87.5 (gpt4)-2.5%
GSM8K: 67.7 vs 96.4 (so35)-29.8%
MATH Lvl 5: 12.46
LLME Score: 0.25317
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 (152334H/miqu-1-70b-sf)
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Miqu 1 70B Sf Parameters and Internals

Model Type 
text generation
Additional Notes 
Model is dequantized from q5 to f16 and transposed to PyTorch.
Input Output 
Input Format:
Prompted text with tokenized input.
Accepted Modalities:
text
Output Format:
Generated text output.
Performance Tips:
Device with multiple GPUs recommended due to model size.
LLM NameMiqu 1 70B Sf
Repository 🤗https://huggingface.co/152334H/miqu-1-70b-sf 
Model Size70b
Required VRAM138.7 GB
Updated2025-09-23
Maintainer152334H
Model Typellama
Model Files  4.7 GB: 1-of-29   4.7 GB: 2-of-29   5.0 GB: 3-of-29   5.0 GB: 4-of-29   4.7 GB: 5-of-29   4.7 GB: 6-of-29   4.7 GB: 7-of-29   5.0 GB: 8-of-29   5.0 GB: 9-of-29   4.7 GB: 10-of-29   4.7 GB: 11-of-29   4.7 GB: 12-of-29   5.0 GB: 13-of-29   5.0 GB: 14-of-29   4.7 GB: 15-of-29   4.7 GB: 16-of-29   4.7 GB: 17-of-29   5.0 GB: 18-of-29   5.0 GB: 19-of-29   4.7 GB: 20-of-29   4.7 GB: 21-of-29   4.7 GB: 22-of-29   5.0 GB: 23-of-29   5.0 GB: 24-of-29   4.7 GB: 25-of-29   4.7 GB: 26-of-29   4.7 GB: 27-of-29   5.0 GB: 28-of-29   3.8 GB: 29-of-29
Supported Languagesen
Model ArchitectureLlamaForCausalLM
Context Length32764
Model Max Length32764
Transformers Version4.36.0
Tokenizer ClassLlamaTokenizer
Padding Token<unk>
Vocabulary Size32000
Torch Data Typefloat16

Quantized Models of the Miqu 1 70B Sf

Model
Likes
Downloads
VRAM
...erated Miqu 70B 4.0bpw H6 EXL21635 GB
...erated Miqu 70B 3.5bpw H6 EXL21630 GB
Miqu 1 103B 5.0bpw H6 EXL221065 GB
Miqu 1 103B 3.5bpw H6 EXL23745 GB
Miqu 1 103B 2.4bpw H6 EXL21731 GB
Miqu 1 103B 3.0bpw H6 EXL21639 GB
Miqu 1 70B Sf GPTQ101436 GB
...ram Miqu 1 120B 2.4bpw H6 EXL22636 GB
...am Miqu 1 120B 2.65bpw H6 EXL22540 GB
...ram Miqu 1 120B 4.0bpw H6 EXL21860 GB

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Yi 70B 200K RPMerge Franken195K / 142.4 GB61

Rank the Miqu 1 70B Sf 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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Release v20241124
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