Alignment-handbook Autotrain compatible Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-7b-ins... Conversational Endpoints compatible Generated from trainer Instruct Qwen2 Region:us Safetensors Sft Sharded Tensorboard Tensorflow Trl
Model Card on HF 🤗: https://huggingface.co/TongZheng1999/Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3
Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 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)
Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 Parameters and Internals
| LLM Name | Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 |
| Repository 🤗 | https://huggingface.co/TongZheng1999/Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3 |
| Model Name | Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 15.2 GB |
| Updated | 2025-07-19 |
| Maintainer | TongZheng1999 |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 151665 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 7B Instruct 1M | 986K / 15.4 GB | 2171991 | 338 |
| Qwen2.5 7B RRP 1M | 986K / 15.2 GB | 913 | 6 |
| Hush Qwen2.5 7B RP V1.4 1M | 986K / 15.2 GB | 4 | 2 |
| Qwen2.5 7B CelestialHarmony 1M | 986K / 14.8 GB | 7 | 7 |
| Q2.5 Instruct 1M Harmony | 986K / 15.2 GB | 7 | 2 |
| Impish QWEN 7B 1M | 986K / 15.2 GB | 7 | 4 |
| COCO 7B Instruct 1M | 986K / 15.2 GB | 8 | 4 |
| Apollo 7B | 986K / 15.2 GB | 6 | 0 |
| Qwen2.5 7B Instruct 1M | 986K / 15.2 GB | 1320 | 2 |
| Qwen2.5 7B Sky R1 Mini | 986K / 15.2 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TongZheng1999/Qwen2.5-7B-Instruct-star-code-v3_10-2-3Rounds-iter-3 .
Rank the Qwen2.5 7B Instruct Star Code V3.10 2 3Rounds Iter 3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124