Autotrain compatible Base model:finetune:liquidai/l... Base model:liquidai/lfm2-350m Conversational Dataset:kurakurai/luth-sft En Endpoints compatible Fr Lfm2 Liquid Luth Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/kurakurai/Luth-LFM2-350M
Luth LFM2 350M 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 LFM2 350M Parameters and Internals
| LLM Name | Luth LFM2 350M |
| Repository 🤗 | https://huggingface.co/kurakurai/Luth-LFM2-350M |
| Base Model(s) | |
| Model Size | 350m |
| Required VRAM | 0.7 GB |
| Updated | 2025-10-05 |
| Maintainer | kurakurai |
| Model Type | lfm2 |
| Model Files | |
| Supported Languages | fr en |
| Model Architecture | Lfm2ForCausalLM |
| License | other |
| Context Length | 128000 |
| Model Max Length | 128000 |
| Transformers Version | 4.55.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 65536 |
| Torch Data Type | bfloat16 |
Best Alternatives to Luth LFM2 350M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LFM2 350M | 125K / 0.7 GB | 14808 | 128 |
| LFM2 350M ENJP MT | 125K / 0.7 GB | 684 | 52 |
| Kulyk En Uk | 125K / 0.7 GB | 256 | 5 |
| LFM2 350M | 32K / 0.7 GB | 1034 | 2 |
Note: green Score (e.g. "73.2") means that the model is better than kurakurai/Luth-LFM2-350M .
Rank the Luth LFM2 350M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124