Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium Bnb 4bit Smashed by PrunaAI

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  4-bit   4bit   Autotrain compatible Base model:cognitivecomputatio... Base model:quantized:cognitive...   Bitsandbytes   Conversational   Endpoints compatible   Mistral   Pruna-ai   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium Bnb 4bit Smashed Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium Bnb 4bit Smashed (PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-bnb-4bit-smashed)

Cognitivecomputations Dolphin 2.9.2 Phi 3 Medium Bnb 4bit Smashed Parameters and Internals

Additional Notes 
The model format is safetensors. Efficiency results may vary in other settings (e.g., other hardware, image size, batch size, ...).
Training Details 
Data Sources:
WikiText
Methodology:
Compressed with llm-int8.
LLM NameCognitivecomputations Dolphin 2.9.2 Phi 3 Medium Bnb 4bit Smashed
Repository ๐Ÿค—https://huggingface.co/PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-bnb-4bit-smashed 
Base Model(s)  cognitivecomputations/dolphin-2.9.2-Phi-3-Medium   cognitivecomputations/dolphin-2.9.2-Phi-3-Medium
Model Size7.4b
Required VRAM8.4 GB
Updated2025-02-05
MaintainerPrunaAI
Model Typemistral
Model Files  5.0 GB: 1-of-2   3.4 GB: 2-of-2
Quantization Type4bit
Model ArchitectureMistralForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<|placeholder6|>
Vocabulary Size32064
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than PrunaAI/cognitivecomputations-dolphin-2.9.2-Phi-3-Medium-bnb-4bit-smashed.

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227