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Hemlock-Qwen2.5-Coder-32B
nbeerbower/Hemlock-Qwen2.5-Coder-32B
Hemlock-Qwen2.5-Coder-32B is a text generation model from nbeerbower. Use it when you need the model to write or continue text. It is set up for transformers.
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32.8B
65.5 GB on disk
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.safetensors65.5 GB · 100%
At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- qwen2
- Access
- Public
- Created
- Dec 30, 2025
- Updated
- Jan 3, 2026
- SHA
- c1f925a1
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Base models
Datasets
Model card
From the Hugging Face model README
Hemlock-Qwen2.5-Coder-32B
An attempt to train Qwen2.5-Coder on The Hemlock Programming Language using SFT.
Results
These models work! Qwen2.5-Coder goes from a completely made up syntax to mostly one-shotting runnable programs.
However, they do still hallucinate. Retrained models will come later with better data and higher LoRA rank and alpha.
Training Configuration
| Parameter | Value |
|---|---|
| Training Mode | SFT |
| Base Model | Qwen/Qwen2.5-Coder-32B-Instruct |
| Learning Rate | 9e-05 |
| Epochs | 2 |
| Batch Size | 1 |
| Gradient Accumulation | 16 |
| Effective Batch Size | 16 |
| Max Sequence Length | 2048 |
| Optimizer | paged_adamw_8bit |
| LR Scheduler | cosine |
| Warmup Ratio | 0.05 |
| Weight Decay | 0.01 |
| Max Grad Norm | 0.25 |
| Seed | 42 |
| LoRA Rank (r) | 128 |
| LoRA Alpha | 64 |
| LoRA Dropout | 0.05 |
| Target Modules | up_proj, down_proj, gate_proj, k_proj, q_proj, v_proj, o_proj |
| Quantization | 4-bit (NF4) |
| GPU | NVIDIA RTX A6000 |
- Task
- Text Generation
- Library
- transformers
- Type
- qwen2
- Created
- Dec 30, 2025
- Updated
- Jan 3, 2026