Cognitivecomputations Dolphin 2.9.2 Qwen2 7B by TouchNight

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  Autotrain compatible   Axolotl Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-7b   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   Endpoints compatible   Generated from trainer   Qwen2   Region:us   Safetensors   Sharded   Tensorflow

Cognitivecomputations Dolphin 2.9.2 Qwen2 7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Cognitivecomputations Dolphin 2.9.2 Qwen2 7B (TouchNight/cognitivecomputations_dolphin-2.9.2-qwen2-7b)

Cognitivecomputations Dolphin 2.9.2 Qwen2 7B Parameters and Internals

LLM NameCognitivecomputations Dolphin 2.9.2 Qwen2 7B
Repository ๐Ÿค—https://huggingface.co/TouchNight/cognitivecomputations_dolphin-2.9.2-qwen2-7b 
Base Model(s)  Qwen2 7B   Qwen/Qwen2-7B
Model Size7b
Required VRAM15.2 GB
Updated2025-06-01
MaintainerTouchNight
Model Typeqwen2
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   4.3 GB: 3-of-4   1.1 GB: 4-of-4
Model ArchitectureQwen2ForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.40.2
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than TouchNight/cognitivecomputations_dolphin-2.9.2-qwen2-7b.

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Instruction Following and Task Automation  
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227