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BehChat SFTv2 Mixed Ckpt 6 by zypchn

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BehChat SFTv2 Mixed Ckpt 6 is an open-source language model by zypchn. Features: 8b LLM, VRAM: 16.4GB, Context: 128K, License: apache-2.0, Quantized, LLM Explorer Score: 0.29.

  4bit   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/zypchn/BehChat-SFTv2-mixed-ckpt-6 

BehChat SFTv2 Mixed Ckpt 6 Benchmarks

LLME Score: 0.2906
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
BehChat SFTv2 Mixed Ckpt 6 (zypchn/BehChat-SFTv2-mixed-ckpt-6)
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BehChat SFTv2 Mixed Ckpt 6 Parameters and Internals

LLM NameBehChat SFTv2 Mixed Ckpt 6
Repository 🤗https://huggingface.co/zypchn/BehChat-SFTv2-mixed-ckpt-6 
Base Model(s)  unsloth/deepseek-r1-0528-qwen3-8b-unsloth-bnb-4bit   unsloth/deepseek-r1-0528-qwen3-8b-unsloth-bnb-4bit
Model Size8b
Required VRAM16.4 GB
Updated2026-05-17
Maintainerzypchn
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 Type4bit
Model ArchitectureQwen3ForCausalLM
Licenseapache-2.0
Context Length131072
Model Max Length131072
Tokenizer ClassLlamaTokenizerFast
Padding Token<|PAD_TOKEN|>
Vocabulary Size151936
Torch Data Typebfloat16

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...0528 Qwen3 8B Unsloth Bnb 4bit128K / 16.4 GB50
Annie Lite V0.2.9 Qwen3 8B80K / 16.4 GB90
Bonsai 8B Mlx 1bit64K / 1.3 GB55259198
Bonsai 8B MLX 2.25bit64K / 2.3 GB27184
Note: green Score (e.g. "73.2") means that the model is better than zypchn/BehChat-SFTv2-mixed-ckpt-6.

Rank the BehChat SFTv2 Mixed Ckpt 6 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
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