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Dolphin 2.1 70B AWQ by TheBloke

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  4-bit   Autotrain compatible   Awq Base model:cognitivecomputatio... Base model:quantized:cognitive...   Conversational   Dataset:ehartford/dolphin Dataset:jondurbin/airoboros-2....   En   Llama   Quantized   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Dolphin-2.1-70B-AWQ 

Dolphin 2.1 70B AWQ Benchmarks

LLME Score: 0.11561
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Dolphin 2.1 70B AWQ (TheBloke/Dolphin-2.1-70B-AWQ)
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Dolphin 2.1 70B AWQ Parameters and Internals

LLM NameDolphin 2.1 70B AWQ
Repository 🤗https://huggingface.co/TheBloke/Dolphin-2.1-70B-AWQ 
Model NameDolphin 2.1 70B
Model CreatorEric Hartford
Base Model(s)  ehartford/dolphin-2.1-70b   ehartford/dolphin-2.1-70b
Model Size70b
Required VRAM36.6 GB
Updated2025-09-23
MaintainerTheBloke
Model Typellama
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 Version4.34.0
Tokenizer ClassLlamaTokenizer
Vocabulary Size32002
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Dolphin-2.1-70B-AWQ.

Rank the Dolphin 2.1 70B AWQ Capabilities

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Instruction Following and Task Automation  
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Release v20241124
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