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Qwen3 32B Embrace Fullsft E5 Grad Accum 16 Merged 16bit by DevopsEmbrace

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Qwen3 32B Embrace Fullsft E5 Grad Accum 16 Merged 16bit is an open-source language model by DevopsEmbrace. Features: 32b LLM, VRAM: 65.8GB, Context: 40K, License: apache-2.0, Quantized, Merged, LLM Explorer Score: 0.3.

  Merged Model   16bit Base model:devopsembrace/qwen3... Base model:finetune:devopsembr...   Conversational   En   Endpoints compatible   Quantized   Qwen3   Region:us   Safetensors   Sharded   Tensorflow   Unsloth
Model Card on HF 🤗: https://huggingface.co/DevopsEmbrace/qwen3_32B_embrace_fullsft_e5_grad_accum_16_merged_16bit 

Qwen3 32B Embrace Fullsft E5 Grad Accum 16 Merged 16bit Benchmarks

LLME Score: 0.30094
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Qwen3 32B Embrace Fullsft E5 Grad Accum 16 Merged 16bit (DevopsEmbrace/qwen3_32B_embrace_fullsft_e5_grad_accum_16_merged_16bit)
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Qwen3 32B Embrace Fullsft E5 Grad Accum 16 Merged 16bit Parameters and Internals

LLM NameQwen3 32B Embrace Fullsft E5 Grad Accum 16 Merged 16bit
Repository 🤗https://huggingface.co/DevopsEmbrace/qwen3_32B_embrace_fullsft_e5_grad_accum_16_merged_16bit 
Base Model(s)  ...llcpt E5 Baseline Merged 16bit   DevopsEmbrace/qwen3_32B_embrace_fullcpt_e5_baseline_merged_16bit
Merged ModelYes
Model Size32b
Required VRAM65.8 GB
Updated2026-05-08
MaintainerDevopsEmbrace
Model Typeqwen3
Model Files  4.9 GB: 1-of-14   4.9 GB: 2-of-14   4.9 GB: 3-of-14   4.9 GB: 4-of-14   4.9 GB: 5-of-14   4.9 GB: 6-of-14   4.9 GB: 7-of-14   4.9 GB: 8-of-14   4.9 GB: 9-of-14   4.9 GB: 10-of-14   4.9 GB: 11-of-14   4.9 GB: 12-of-14   4.9 GB: 13-of-14   2.1 GB: 14-of-14
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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...llcpt E5 Baseline Merged 16bit40K / 65.8 GB11790
...line Merged 16bit Merged 16bit40K / 65.8 GB850
Qwen3 32B Bnb 4bit40K / 19.2 GB425857
Qwen3 32B Unsloth Bnb 4bit40K / 39.5 GB582215
Qwen3 32B MLX 8bit40K / 33.7 GB114411
Qwen3 32B 4bit40K / 18.5 GB15164
Qwen3 32B MLX 4bit40K / 17.4 GB3467
Qwen3 32B MLX 6bit40K / 25.5 GB964
Qwen3 32B 8bit40K / 34.9 GB1841
...ll Qwen3 32B Preview7 QAT 200K195K / 65.8 GB43
Note: green Score (e.g. "73.2") means that the model is better than DevopsEmbrace/qwen3_32B_embrace_fullsft_e5_grad_accum_16_merged_16bit.

Rank the Qwen3 32B Embrace Fullsft E5 Grad Accum 16 Merged 16bit Capabilities

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