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Dolphin 2.0 Mistral 7B GPTQ by TheBloke

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  4-bit   Autotrain compatible Base model:cognitivecomputatio... Base model:quantized:cognitive...   Dataset:ehartford/dolphin Dataset:jondurbin/airoboros-2....   En   Gptq   Mistral   Quantized   Region:us   Safetensors

Dolphin 2.0 Mistral 7B GPTQ Benchmarks

LLME Score: 0.21435
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Dolphin 2.0 Mistral 7B GPTQ Parameters and Internals

LLM NameDolphin 2.0 Mistral 7B GPTQ
Repository 🤗https://huggingface.co/TheBloke/dolphin-2.0-mistral-7B-GPTQ 
Model NameDolphin 2.0 Mistral 7B
Model CreatorEric Hartford
Base Model(s)  ehartford/dolphin-2.0-mistral-7b   ehartford/dolphin-2.0-mistral-7b
Model Size7b
Required VRAM4.2 GB
Updated2024-11-21
MaintainerTheBloke
Model Typemistral
Model Files  4.2 GB
Supported Languagesen
GPTQ QuantizationYes
Quantization Typegptq
Model ArchitectureMistralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.34.0.dev0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32000
Torch Data Typefloat16
Dolphin 2.0 Mistral 7B GPTQ (TheBloke/dolphin-2.0-mistral-7B-GPTQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dolphin-2.0-mistral-7B-GPTQ.

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Release v20241110
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