Qwen2 5Coder1 5B Java Junit
This model is a fine-tuned version of unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit on an unknown dataset.
Model source
- Kind
- LoRA
- File size
- 8.33 MB–2.88 GB
- Base model
- unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit
- Version
- vRevision 96ca8df
- Updated
- Oct 3, 2026
- Publisher
- @rutbee10
- Downloads
- 39
- Parameters
- 5B
- Tasks
- Text generation
- Source
- Hugging Face
Source description
qwen2_5Coder1_5B-java-junit
This model is a fine-tuned version of unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit on an unknown dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 200
- num_epochs: 3
Training results
Framework versions
- PEFT 0.19.1
- Transformers 5.5.0
- Pytorch 2.10.0+rocm7.2.4.git3d3aa833
- Datasets 4.3.0
- Tokenizers 0.22.2
Sources
1 source
Sources
1 sourceVerified Oct 3
Model artifacts
4 artifacts
Model artifacts
4 artifactsqwen2_5Coder1_5B-java-junit-q4_k_m.gguf
gguf · 940 MB · SHA-256 a976b3a56a22…c743 · Hugging Face
DownloadSource excerpts
3 excerpts
Source excerpts
3 excerpts--- library_name: peft license: apache-2.0 base_model: unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit tags: - base_model:adapter:unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit - lora - transformers - unsloth pipeline_tag: text-generation model-index: - name: qwen2_5Coder1_5B-java-junit results: [] --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # qwen2_5Coder1_5B-java-junit This model is a fine-tuned version of [unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit](https://huggingface.co/unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit) on an unknown dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 0.0002 - train_batch_size: 8 - eval_batch_size: 8 - seed: 42 - gradient_accumulation_steps: 4 - total_train_batch_size: 32 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: cosine - lr_scheduler_warmup_steps: 200 - num_epochs: 3 ### Training results ### Framework versions - PEFT 0.19.1 - Transformers 5.5.0 - Pytorch 2.10.0+rocm7.2.4.git3d3aa833 - Datasets 4.3.0 - Tokenizers 0.22.2
Source context: 39 downloads · 0 likes · Pipeline text-generation · Library peft · Repo rutbee10/qwen2_5Coder1_5B-java-junit
Source context: 56 downloads · 0 likes · Pipeline text-generation · Library peft · Repo rutbee10/qwen2_5Coder1_5B-java-junit
