Una Cybertron 7B V2 GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:fblgit/una-cybertro... Base model:quantized:fblgit/un...   Cybertron Dataset:allenai/ultrafeedback ... Dataset:fblgit/tree-of-knowled... Dataset:open-orca/slimorca-ded...   Fbl   Gptq   Juanako   Mistral   Quantized   Region:us   Safetensors   Una

Una Cybertron 7B V2 GPTQ Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Una Cybertron 7B V2 GPTQ Parameters and Internals

LLM NameUna Cybertron 7B V2 GPTQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/una-cybertron-7B-v2-GPTQ 
Model NameUna Cybertron 7B v2
Model CreatorFBL
Base Model(s)  Una Cybertron 7B V2 Bf16   fblgit/una-cybertron-7b-v2-bf16
Model Size7b
Required VRAM4.2 GB
Updated2024-10-18
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.35.2
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typebfloat16
Una Cybertron 7B V2 GPTQ (TheBloke/una-cybertron-7B-v2-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/una-cybertron-7B-v2-GPTQ.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803