Qwen Coder7B Finetune is an open-source language model by neihc. Features: LLM, VRAM: 15.2GB, Context: 32K, Fine-Tuned, LLM Explorer Score: 0.17.
Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Finetuned Pytorch Qwen2 Region:us Sft Sharded Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/neihc/qwen-coder7B-finetune
Qwen Coder7B Finetune 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)
Qwen Coder7B Finetune Parameters and Internals
| LLM Name | Qwen Coder7B Finetune |
| Repository 🤗 | https://huggingface.co/neihc/qwen-coder7B-finetune |
| Required VRAM | 15.2 GB |
| Updated | 2025-06-09 |
| Maintainer | neihc |
| Model Type | qwen2 |
| Model Files | |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.46.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|PAD_TOKEN|> |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to Qwen Coder7B Finetune
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 | 128K / 15.2 GB | 5 | 0 |
| A.X 4.0 | 128K / 144.4 GB | 539 | 173 |
| Palmyra Mini Thinking A | 128K / 3.5 GB | 407 | 26 |
| Palmyra Mini Thinking B | 128K / 3.5 GB | 25 | 27 |
| XJJ DeepSeek R1 COT | 128K / 0.1 GB | 5 | 0 |
| SuperNova Medius Bf16 | 128K / 29.6 GB | 6 | 2 |
| C3D4e5F6 | 128K / 1 GB | 630 | 0 |
| Qwerty2 05bita | 128K / 1 GB | 569 | 0 |
| B2C3D4e5 | 128K / 1 GB | 50 | 0 |
| Mxbai Rerank Large V2 | 32K / 3.1 GB | 6658 | 127 |
Note: green Score (e.g. "73.2") means that the model is better than neihc/qwen-coder7B-finetune .
Rank the Qwen Coder7B Finetune Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a