Autotrain compatible Custom code Dataset:neurostellar/haiguitan... Lora Pytorch Qwen Region:us Sharded Zh
Model Card on HF 🤗: https://huggingface.co/neurostellar/Qwen7B-haiguitang
Qwen7B Haiguitang 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)
Qwen7B Haiguitang Parameters and Internals
| Supported Languages |
|
| LLM Name | Qwen7B Haiguitang |
| Repository 🤗 | https://huggingface.co/neurostellar/Qwen7B-haiguitang |
| Required VRAM | 15.3 GB |
| Updated | 2025-09-30 |
| Maintainer | neurostellar |
| Model Files | |
| Supported Languages | zh |
| Model Architecture | AutoModelForCausalLM |
| Model Max Length | 32768 |
| Is Biased | none |
| Tokenizer Class | QWenTokenizer |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | w1|w2|c_proj|c_attn |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.1 |
| R Param | 64 |
Best Alternatives to Qwen7B Haiguitang
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Asdf | 0K / 0.1 GB | 14 | 0 |
| MS32 3 | 0K / 1.5 GB | 6 | 0 |
| MS32 2 | 0K / 0.7 GB | 5 | 0 |
| Tinyllama Cpt | 0K / 0.5 GB | 6 | 0 |
| Fine Tune Sentimental Llama | 0K / 0 GB | 5 | 0 |
| VLM2Vec LoRA | 0K / 0 GB | 31 | 11 |
| QuietStar Project | 0K / GB | 8 | 2 |
| Finetuned Llava Lora | 0K / 0.1 GB | 5 | 0 |
| Alphace Email | 0K / 0.1 GB | 6 | 0 |
| Modelv3 | 0K / 13.5 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than neurostellar/Qwen7B-haiguitang .
Rank the Qwen7B Haiguitang Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124