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Aqua Qwen 0.1 110B by saucam

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  Merged Model   Arxiv:2311.03099   Autotrain compatible Base model:cognitivecomputatio... Base model:qwen/qwen1.5-110b-c...   Conversational   En   Endpoints compatible   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Aqua Qwen 0.1 110B Benchmarks

LLME Score: 0.21881
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Aqua Qwen 0.1 110B Parameters and Internals

LLM NameAqua Qwen 0.1 110B
Repository 🤗https://huggingface.co/saucam/aqua-qwen-0.1-110B 
Base Model(s)  cognitivecomputations/dolphin-2.9.1-qwen-110b   Qwen/Qwen1.5-110B-Chat   cognitivecomputations/dolphin-2.9.1-qwen-110b   Qwen/Qwen1.5-110B-Chat
Merged ModelYes
Model Size110b
Required VRAM198.3 GB
Updated2024-09-07
Maintainersaucam
Model Typeqwen2
Model Files  5.0 GB: 1-of-49   4.3 GB: 2-of-49   4.6 GB: 3-of-49   4.6 GB: 4-of-49   4.3 GB: 5-of-49   4.6 GB: 6-of-49   4.6 GB: 7-of-49   4.3 GB: 8-of-49   4.6 GB: 9-of-49   4.6 GB: 10-of-49   4.3 GB: 11-of-49   4.6 GB: 12-of-49   4.6 GB: 13-of-49   4.3 GB: 14-of-49   4.6 GB: 15-of-49   4.6 GB: 16-of-49   4.3 GB: 17-of-49   4.6 GB: 18-of-49   4.6 GB: 19-of-49   4.3 GB: 20-of-49   4.6 GB: 21-of-49   4.6 GB: 22-of-49   4.3 GB: 23-of-49   4.6 GB: 24-of-49   4.6 GB: 25-of-49   4.3 GB: 26-of-49   4.6 GB: 27-of-49   4.6 GB: 28-of-49   4.3 GB: 29-of-49   4.6 GB: 30-of-49   4.6 GB: 31-of-49   4.3 GB: 32-of-49   4.6 GB: 33-of-49   4.6 GB: 34-of-49   4.3 GB: 35-of-49   4.6 GB: 36-of-49   4.6 GB: 37-of-49   4.3 GB: 38-of-49   4.6 GB: 39-of-49   4.6 GB: 40-of-49   4.3 GB: 41-of-49   4.6 GB: 42-of-49   4.6 GB: 43-of-49   4.3 GB: 44-of-49
Supported Languagesen
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Vocabulary Size152064
Torch Data Typebfloat16
Aqua Qwen 0.1 110B (saucam/aqua-qwen-0.1-110B)

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Note: green Score (e.g. "73.2") means that the model is better than saucam/aqua-qwen-0.1-110B.

Rank the Aqua Qwen 0.1 110B Capabilities

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Release v2024072803
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