Autotrain compatible Base model:finetune:qwen/qwen3... Base model:qwen/qwen3-1.7b Conversational Dataset:kurakurai/luth-sft En Endpoints compatible Fr Instruct Qwen3 Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/kurakurai/Luth-1.7B-Instruct
Luth 1.7B Instruct 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)
Luth 1.7B Instruct Parameters and Internals
| LLM Name | Luth 1.7B Instruct |
| Repository 🤗 | https://huggingface.co/kurakurai/Luth-1.7B-Instruct |
| Base Model(s) | |
| Model Size | 1.7b |
| Required VRAM | 3.4 GB |
| Updated | 2025-09-23 |
| Maintainer | kurakurai |
| Model Type | qwen3 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | fr en |
| Model Architecture | Qwen3ForCausalLM |
| License | apache-2.0 |
| Context Length | 40960 |
| Model Max Length | 40960 |
| Transformers Version | 4.53.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Luth 1.7B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...3 1.7B Instruction Noreasoning | 40K / 3.4 GB | 1090 | 12 |
| Qwen3 1.7B ShiningValiant3 | 40K / 6.9 GB | 58 | 4 |
| ...ruct Fast CODER Reasoning 2.4B | 40K / 9.7 GB | 9 | 1 |
| ... Instruct CODER Reasoning 2.7B | 40K / 11 GB | 8 | 0 |
| ...wen3 1.7B Tamil 16bit Instruct | 40K / 3.4 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than kurakurai/Luth-1.7B-Instruct .
Rank the Luth 1.7B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124