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Cognitivecomputations Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ 4bit Smashed by PrunaAI

 »  All LLMs  »  PrunaAI  »  Cognitivecomputations Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ 4bit Smashed   URL Share it on

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  4-bit   4bit   Awq Base model:cognitivecomputatio... Base model:quantized:cognitive...   Mistral   Pruna-ai   Quantized   Region:us   Safetensors
Model Card on HF 🤗: https://huggingface.co/PrunaAI/cognitivecomputations-Dolphin-2.9.1-Phi-3-Kensho-4.5B-AWQ-4bit-smashed 

Cognitivecomputations Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ 4bit Smashed Benchmarks

LLME Score: 0.16177
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ 4bit Smashed (PrunaAI/cognitivecomputations-Dolphin-2.9.1-Phi-3-Kensho-4.5B-AWQ-4bit-smashed)
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Cognitivecomputations Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ 4bit Smashed Parameters and Internals

Model Type 
compressed
Additional Notes 
This model uses AWQ for compression. Model format uses safetensors. Requires quantization-related packages.
LLM NameCognitivecomputations Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ 4bit Smashed
Repository 🤗https://huggingface.co/PrunaAI/cognitivecomputations-Dolphin-2.9.1-Phi-3-Kensho-4.5B-AWQ-4bit-smashed 
Base Model(s)  cognitivecomputations/Dolphin-2.9.1-Phi-3-Kensho-4.5B   cognitivecomputations/Dolphin-2.9.1-Phi-3-Kensho-4.5B
Model Size4.5b
Required VRAM3.7 GB
Updated2025-09-23
MaintainerPrunaAI
Model Typemistral
Model Files  3.7 GB
AWQ QuantizationYes
Quantization Typeawq|4bit
Model ArchitectureMistralForCausalLM
Context Length4096
Model Max Length4096
Transformers Version4.40.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
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-2.9.1-Phi-3-Kensho-4.5B-AWQ-4bit-smashed.

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