Luth LFM2 700M is an open-source language model by kurakurai. Features: 700m LLM, VRAM: 1.5GB, Context: 125K, License: other, LLM Explorer Score: 0.21.
Arxiv:2510.05846 Base model:finetune:liquidai/l... Base model:liquidai/lfm2-700m Conversational Dataset:kurakurai/luth-sft Deploy:azure En Endpoints compatible Fr Lfm2 Liquid Luth Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/kurakurai/Luth-LFM2-700M
Luth LFM2 700M 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 700M Parameters and Internals
| LLM Name | Luth LFM2 700M |
| Repository 🤗 | https://huggingface.co/kurakurai/Luth-LFM2-700M |
| Base Model(s) | |
| Model Size | 700m |
| Required VRAM | 1.5 GB |
| Updated | 2026-05-12 |
| 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 700M
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LFM2 700M | 125K / 1.5 GB | 7305 | 112 |
| LFM2 700M | 32K / 1.5 GB | 1577 | 1 |
| LFM2 700M Unsloth Bnb 4bit | 32K / 0.7 GB | 34 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than kurakurai/Luth-LFM2-700M .
Rank the Luth LFM2 700M Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a