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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.

ArtLoRABasismodellunsloth/qwen2.5-coder-1.5b-instruct-bnb-4bitVersionRevision 96ca8dfVerleger@rutbee10CBewertung

Modellquelle

Art
LoRA
Dateigröße
8,33 MB–2,88 GB
Basismodell
unsloth/qwen2.5-coder-1.5b-instruct-bnb-4bit
Version
vRevision 96ca8df
Aktualisiert
3. Okt. 2026
Verleger
@rutbee10
Downloads
39
Parameter
5B
Aufgaben
Textgenerierung
Quelle
Hugging Face

Quellenbeschreibung

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

Quellen

1 Quelle
Hugging FacePrimärVersion 96ca8df63e8f6f3e13c596495a6d19f11b02fffb
huggingface.co/rutbee10/qwen2_5Coder1_5B-java-junit/tree/96ca8df63e8f6f3e13c596495a6d19f11b02fffb

Verifiziert 3. Okt.

Modellartefakte

4 Artefakte

adapter_model.safetensors

safetensors · 8,33 MB · SHA-256 8fd40d3d4b1a…d297 · Hugging Face

Herunterladen

model.safetensors

safetensors · 2,88 GB · SHA-256 7ef4e26a7dce…48ea · Hugging Face

Herunterladen

qwen2_5Coder1_5B-java-junit-q4_k_m.gguf

gguf · 940 MB · SHA-256 a976b3a56a22…c743 · Hugging Face

Herunterladen

qwen2_5Coder1_5B-java-junit.gguf

gguf · 2,88 GB · SHA-256 0cedd46f17e3…1fd3 · Hugging Face

Herunterladen

Quellenauszüge

3 Auszüge

--- 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