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Qwen3 8B Sftep2 Bal Klge Easysft 16bit Vllm by didula-wso2

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Qwen3 8B Sftep2 Bal Klge Easysft 16bit Vllm is an open-source language model by didula-wso2. Features: 8b LLM, VRAM: 16.4GB, Context: 40K, License: apache-2.0, Quantized, LLM Explorer Score: 0.28.

  16bit Base model:finetune:unsloth/qw...   Base model:unsloth/qwen3-8b   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/didula-wso2/qwen3-8B_sftep2-bal_klge_easysft_16bit_vllm 

Qwen3 8B Sftep2 Bal Klge Easysft 16bit Vllm Benchmarks

LLME Score: 0.27591
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 8B Sftep2 Bal Klge Easysft 16bit Vllm (didula-wso2/qwen3-8B_sftep2-bal_klge_easysft_16bit_vllm)
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Qwen3 8B Sftep2 Bal Klge Easysft 16bit Vllm Parameters and Internals

LLM NameQwen3 8B Sftep2 Bal Klge Easysft 16bit Vllm
Repository 🤗https://huggingface.co/didula-wso2/qwen3-8B_sftep2-bal_klge_easysft_16bit_vllm 
Base Model(s)  Qwen3 8B   unsloth/Qwen3-8B
Model Size8b
Required VRAM16.4 GB
Updated2026-07-07
Maintainerdidula-wso2
Model Typeqwen3
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
Supported Languagesen
Quantization Type16bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length40960
Model Max Length40960
Tokenizer ClassQwen2Tokenizer
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16
Errorsreplace

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Qwen3 8B LQA 14e Full128K / 16.4 GB50
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...0528 Qwen3 8B Unsloth Bnb 4bit128K / 16.4 GB50
Annie Lite V0.2.9 Qwen3 8B80K / 16.4 GB90
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Note: green Score (e.g. "73.2") means that the model is better than didula-wso2/qwen3-8B_sftep2-bal_klge_easysft_16bit_vllm.

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