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Rhea 72B V0.5 4bit 128g by titan087

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  4-bit   4bit   Autotrain compatible   En   Endpoints compatible   Gptq   Llama   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/titan087/Rhea-72b-v0.5-4bit-128g 

Rhea 72B V0.5 4bit 128g Benchmarks

LLME Score: 0.17667
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Rhea 72B V0.5 4bit 128g (titan087/Rhea-72b-v0.5-4bit-128g)

Rhea 72B V0.5 4bit 128g Parameters and Internals

Model Type 
fine-tuned, self-supervised learning
Additional Notes 
Rhea project conducts research on various learning methods to improve LLM model performance, including creating datasets using SGD.
Supported Languages 
en (proficient)
Training Details 
Methodology:
fine-tuning using the nox framework, Self-Generated Dataset Creation Method for DPO Learning (SGD)
LLM NameRhea 72B V0.5 4bit 128g
Repository 🤗https://huggingface.co/titan087/Rhea-72b-v0.5-4bit-128g 
Model Size72b
Required VRAM41.3 GB
Updated2025-02-05
Maintainertitan087
Model Typellama
Model Files  41.3 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq|4bit
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.39.0.dev0
Tokenizer ClassGPT2Tokenizer
Vocabulary Size152064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than titan087/Rhea-72b-v0.5-4bit-128g.

Rank the Rhea 72B V0.5 4bit 128g Capabilities

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Release v20241227
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