Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ by vaclavkosar

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  4-bit   Autotrain compatible   Awq Base model:quantized:unsloth/p... Base model:unsloth/phi-3-mini-...   Conversational Dataset:cognitivecomputations/... Dataset:cognitivecomputations/... Dataset:cognitivecomputations/...   Dataset:internlm/agent-flan Dataset:locutusque/function-ca... Dataset:m-a-p/codefeedback-fil... Dataset:microsoft/orca-math-wo...   Dataset:teknium/openhermes-2.5   En   Endpoints compatible   Instruct   Mistral   Quantized   Region:us   Safetensors

Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ Benchmarks

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

Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ Parameters and Internals

LLM NameDolphin 2.9.1 Phi 3 Kensho 4.5B AWQ
Repository ๐Ÿค—https://huggingface.co/vaclavkosar/Dolphin-2.9.1-Phi-3-Kensho-4.5B-AWQ 
Base Model(s)  Phi 3 Mini 4K Instruct   unsloth/Phi-3-mini-4k-instruct
Model Size4.5b
Required VRAM3.7 GB
Updated2024-09-08
Maintainervaclavkosar
Model Typemistral
Instruction-BasedYes
Model Files  3.7 GB
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureMistralForCausalLM
Licensemit
Context Length4096
Model Max Length4096
Transformers Version4.41.0
Tokenizer ClassLlamaTokenizer
Padding Token<|endoftext|>
Vocabulary Size32064
Torch Data Typefloat16
Dolphin 2.9.1 Phi 3 Kensho 4.5B AWQ (vaclavkosar/Dolphin-2.9.1-Phi-3-Kensho-4.5B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than vaclavkosar/Dolphin-2.9.1-Phi-3-Kensho-4.5B-AWQ.

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