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Qwen3 8B Shadow FT BAAI 2K by taki555

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Qwen3 8B Shadow FT BAAI 2K is an open-source language model by taki555. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, Instruction-Based, LLM Explorer Score: 0.19.

  Arxiv:2505.12716 Base model:finetune:qwen/qwen3...   Base model:qwen/qwen3-8b   Dataset:baai/infinity-instruct   Instruct   Instruct tuning   Qwen3   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/taki555/Qwen3-8B-Shadow-FT-BAAI-2k 

Qwen3 8B Shadow FT BAAI 2K Benchmarks

LLME Score: 0.19225
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 8B Shadow FT BAAI 2K (taki555/Qwen3-8B-Shadow-FT-BAAI-2k)
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Qwen3 8B Shadow FT BAAI 2K Parameters and Internals

LLM NameQwen3 8B Shadow FT BAAI 2K
Repository 🤗https://huggingface.co/taki555/Qwen3-8B-Shadow-FT-BAAI-2k 
Base Model(s)  Qwen3 8B   Qwen/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2026-04-02
Maintainertaki555
Model Typeqwen3
Instruction-BasedYes
Model Files  4.9 GB: 1-of-4   4.9 GB: 2-of-4   5.0 GB: 3-of-4   1.6 GB: 4-of-4
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Transformers Version4.51.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Note: green Score (e.g. "73.2") means that the model is better than taki555/Qwen3-8B-Shadow-FT-BAAI-2k.

Rank the Qwen3 8B Shadow FT BAAI 2K Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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