4bit Autotrain compatible Codegen Conversational En Endpoints compatible Instruct Ko Quantized Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/ewhk9887/Korean-QWEN-Coder2.5-14B
Korean QWEN Coder2.5 14B Benchmarks
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
Korean QWEN Coder2.5 14B Parameters and Internals
| LLM Name | Korean QWEN Coder2.5 14B |
| Repository 🤗 | https://huggingface.co/ewhk9887/Korean-QWEN-Coder2.5-14B |
| Base Model(s) | |
| Model Size | 14b |
| Required VRAM | 29.7 GB |
| Updated | 2025-09-23 |
| Maintainer | ewhk9887 |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ko |
| Quantization Type | 4bit |
| Generates Code | Yes |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Korean QWEN Coder2.5 14B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| CogitoZ14 | 32K / 29.7 GB | 25 | 1 |
| UIGEN T1.1 Qwen 14B | 32K / 29.7 GB | 1130 | 32 |
| ....5 Coder 14B Instruct Bnb 4bit | 32K / 9.9 GB | 7599 | 5 |
| Qwen 14B Codefourchan | 32K / 29.7 GB | 1 | 1 |
| UIGEN T1.1 Qwen 14B | 32K / 29.7 GB | 50 | 38 |
| ...wen2.5 Coder 14B Instruct 4bit | 32K / 8.3 GB | 1409 | 4 |
| UIGEN T1.2 Tailwind 14B | 32K / 29.7 GB | 0 | 1 |
| ZYH LLM Qwen2.5 14B V4 | 986K / 29.7 GB | 41 | 8 |
| Qwen2.5 14B YOYO V4 | 986K / 29.7 GB | 6 | 5 |
| ZYH LLM Qwen2.5 14B V2 | 986K / 29.7 GB | 5 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than ewhk9887/Korean-QWEN-Coder2.5-14B .
Rank the Korean QWEN Coder2.5 14B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124