LFM2 700M is an open-source language model by LiquidAI. Features: 700m LLM, VRAM: 1.5GB, Context: 125K, License: other, LLM Explorer Score: 0.28.
| LLM Name | LFM2 700M |
| Repository ๐ค | https://huggingface.co/LiquidAI/LFM2-700M |
| Model Size | 700m |
| Required VRAM | 1.5 GB |
| Updated | 2026-04-10 |
| Maintainer | LiquidAI |
| Model Type | lfm2 |
| Model Files | |
| Supported Languages | en ar zh fr de ja ko es |
| Model Architecture | Lfm2ForCausalLM |
| License | other |
| Context Length | 128000 |
| Model Max Length | 128000 |
| Transformers Version | 4.54.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 65536 |
| Torch Data Type | bfloat16 |
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| LFM2 700M Unsloth Bnb 4bit | 0 | 607 | 0 GB |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Luth LFM2 700M | 125K / 1.5 GB | 46 | 15 |
| LFM2 700M Unsloth Bnb 4bit | 32K / 0.7 GB | 607 | 0 |
๐ 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! ๐