Midnight Rose 70B V2.0.3 GPTQ by sambarnes

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  4-bit   4bit   Autotrain compatible Base model:quantized:sophosymp... Base model:sophosympatheia/mid...   En   Endpoints compatible   Gptq   Llama   Quantized   Region:us

Midnight Rose 70B V2.0.3 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Midnight Rose 70B V2.0.3 GPTQ (sambarnes/Midnight-Rose-70B-v2.0.3-GPTQ)
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Midnight Rose 70B V2.0.3 GPTQ Parameters and Internals

Model Type 
quantized
Additional Notes 
A second attempt at quantizing a pre-trained model with AutoGPTQ using a VMWare calibration dataset. Quantization took ~1.5hrs costing roughly .
Supported Languages 
en (Proficient)
Training Details 
Data Sources:
https://huggingface.co/datasets/VMware/open-instruct
Methodology:
Quantization with AutoGPTQ
Hardware Used:
H100 on modal.com
LLM NameMidnight Rose 70B V2.0.3 GPTQ
Repository ๐Ÿค—https://huggingface.co/sambarnes/Midnight-Rose-70B-v2.0.3-GPTQ 
Model NameMidnight Rose 70B v2.0.3
Model Creatorsophosympatheia
Base Model(s)  sophosympatheia/Midnight-Rose-70B-v2.0.3   sophosympatheia/Midnight-Rose-70B-v2.0.3
Model Size70b
Required VRAM35.3 GB
Updated2025-09-21
Maintainersambarnes
Model Typellama
Model Files  35.3 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.31.0
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 sambarnes/Midnight-Rose-70B-v2.0.3-GPTQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124