dsa-research-lora is an open-weight model from Daisy. Its published files total 177.4 MB.
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model.
Model Card
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. Use the code below to get started with the model. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). - PEFT 0.15.2
Excerpt from the card by Daisy.
Identity and Version
- Repository
- bloomsirenix/dsa-research-lora
- Publisher
- Daisy
- Task
- Not stated by the source
- Modality
- Other
- Library
- peft
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 921518f695fa6dc46acd91230a23fa9305c75dc3
- First published
- 2026-10-01
- Last updated
- 2026-10-01
Files and Weights
10 files, 177.4 MB in total. The weights are 1 file totalling 161.5 MB in safetensors.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| adapter_model.safetensors | Weights | 161.5 MB | 16c45ec833ab |
| adapter_config.json | Configuration | 857 B | — |
| added_tokens.json | Configuration | 605 B | — |
| special_tokens_map.json | Configuration | 613 B | — |
| README.md | Documentation | 5.1 KB | — |
| .gitattributes | Repository | 1.6 KB | — |
| merges.txt | Tokenizer | 1.7 MB | — |
| tokenizer.json | Tokenizer | 11.4 MB | 9c5ae00e602b |
| tokenizer_config.json | Tokenizer | 7.3 KB | — |
| vocab.json | Tokenizer | 2.8 MB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 161.5 MB
Released by Daisy through its official repository on Hugging Face.
Built From
- Adapter of Qwen/Qwen2.5-7B-Instruct
- Derived from Qwen/Qwen2.5-7B-Instruct
- Described by arXiv:1910.09700
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 161.5 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.