4-bit 4bit Ar Autotrain compatible Base model:liquidai/lfm2-700m Base model:quantized:liquidai/... Bitsandbytes Conversational De Edge En Endpoints compatible Es Fr Ja Ko Lfm2 Liquid Quantized Region:us Safetensors Unsloth Zh
Model Card on HF 🤗: https://huggingface.co/unsloth/LFM2-700M-unsloth-bnb-4bit
LFM2 700M Unsloth Bnb 4bit 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)
LFM2 700M Unsloth Bnb 4bit Parameters and Internals
| LLM Name | LFM2 700M Unsloth Bnb 4bit |
| Repository 🤗 | https://huggingface.co/unsloth/LFM2-700M-unsloth-bnb-4bit |
| Base Model(s) | |
| Model Size | 700m |
| Required VRAM | 0.7 GB |
| Updated | 2025-08-26 |
| Maintainer | unsloth |
| Model Type | lfm2 |
| Model Files | |
| Supported Languages | en ar zh fr de ja ko es |
| Quantization Type | 4bit |
| Model Architecture | Lfm2ForCausalLM |
| License | other |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.54.0.dev0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|pad|> |
| Vocabulary Size | 65536 |
| Torch Data Type | bfloat16 |
Best Alternatives to LFM2 700M Unsloth Bnb 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| LFM2 700M | 125K / 1.5 GB | 2528 | 70 |
Note: green Score (e.g. "73.2") means that the model is better than unsloth/LFM2-700M-unsloth-bnb-4bit .
Rank the LFM2 700M Unsloth Bnb 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124