Model Card on HF 🤗: https://huggingface.co/lightblue/kurage-en
Kurage En 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)
Kurage En Parameters and Internals
| Model Type |
| |||||||||
| Additional Notes |
| |||||||||
| Supported Languages |
| |||||||||
| Training Details |
|
| LLM Name | Kurage En |
| Repository 🤗 | https://huggingface.co/lightblue/kurage-en |
| Model Size | 7.6b |
| Required VRAM | 15.2 GB |
| Updated | 2025-10-14 |
| Maintainer | lightblue |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151648 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Kurage En
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Quasar 3.7 | 986K / 15.2 GB | 805 | 0 |
| Quasar 3.3 Max | 986K / 15.2 GB | 132 | 0 |
| MawaredT1 | 128K / 15.2 GB | 2318 | 1 |
| BBALAW1.6 | 128K / 15.2 GB | 5 | 0 |
| Mergekit 01 | 128K / 16.2 GB | 5 | 0 |
| BBAI 525 Tsu GZ Xia0 | 128K / 15.2 GB | 5 | 0 |
| Nature Reason 1.2 Reallysmall | 128K / 15.2 GB | 27 | 1 |
| Exp 3 Q R | 128K / 15.2 GB | 5 | 0 |
| Marco LLM ES | 128K / 15.2 GB | 2164 | 1 |
| Marco LLM AR | 128K / 15.3 GB | 1626 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than lightblue/kurage-en .
Rank the Kurage En Capabilities
🆘 Have you tried this model? Rate its performance. This feedback would greatly assist ML community in identifying the most suitable model for their needs. Your contribution really does make a difference! 🌟
What open-source LLMs or SLMs are you in search of? 51545 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124