DavidAU Psyonic Cetacean V1 20B Ultra Quality Float32 5 0bpw EXL2 by Zoyd

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  32 bit upscale   5-bit   Autotrain compatible   En   Endpoints compatible   Exl2   Full 32 bit precision   Llama   Master files   Quantized   Region:us   Safetensors   Sharded   Tensorflow

DavidAU Psyonic Cetacean V1 20B Ultra Quality Float32 5 0bpw EXL2 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
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DavidAU Psyonic Cetacean V1 20B Ultra Quality Float32 5 0bpw EXL2 Parameters and Internals

Additional Notes 
The model provides options for various quantization configurations, particularly noted for full precision (32-bit) for optimal results.
LLM NameDavidAU Psyonic Cetacean V1 20B Ultra Quality Float32 5 0bpw EXL2
Repository ๐Ÿค—https://huggingface.co/Zoyd/DavidAU_Psyonic-Cetacean-V1-20B-Ultra-Quality-Float32-5_0bpw_exl2 
Model Size20b
Required VRAM12.8 GB
Updated2025-06-09
MaintainerZoyd
Model Typellama
Model Files  8.6 GB: 1-of-2   4.2 GB: 2-of-2
Supported Languagesen
Quantization Typeexl2
Model ArchitectureLlamaForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.42.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat32
DavidAU Psyonic Cetacean V1 20B Ultra Quality Float32 5 0bpw EXL2 (Zoyd/DavidAU_Psyonic-Cetacean-V1-20B-Ultra-Quality-Float32-5_0bpw_exl2)

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Note: green Score (e.g. "73.2") means that the model is better than Zoyd/DavidAU_Psyonic-Cetacean-V1-20B-Ultra-Quality-Float32-5_0bpw_exl2.

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