Dolphin 2.2 70B AWQ by TheBloke

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  Merged Model   4-bit   Autotrain compatible   Awq Base model:cognitivecomputatio... Base model:quantized:cognitive...   Dataset:ehartford/dolphin Dataset:ehartford/samantha-dat... Dataset:ehartford/wizardlm evo... Dataset:jondurbin/airoboros-2....   En   Instruct   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow

Dolphin 2.2 70B 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 2.2 70B AWQ Parameters and Internals

LLM NameDolphin 2.2 70B AWQ
Repository ๐Ÿค—https://huggingface.co/TheBloke/dolphin-2.2-70B-AWQ 
Model NameDolphin 2.2 70B
Model CreatorEric Hartford
Base Model(s)  ehartford/dolphin-2.2-70b   ehartford/dolphin-2.2-70b
Merged ModelYes
Model Size70b
Required VRAM36.6 GB
Updated2024-09-07
MaintainerTheBloke
Model Typellama
Instruction-BasedYes
Model Files  9.9 GB: 1-of-4   9.9 GB: 2-of-4   9.9 GB: 3-of-4   6.9 GB: 4-of-4
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licensellama2
Context Length4096
Model Max Length4096
Transformers Version4.34.1
Tokenizer ClassLlamaTokenizer
Padding Token</s>
Vocabulary Size32002
Torch Data Typefloat16
Dolphin 2.2 70B AWQ (TheBloke/dolphin-2.2-70B-AWQ)

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/dolphin-2.2-70B-AWQ.

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