CHEETAH 350M Merged FP16 is an open-source language model by Tralalabs. Features: 350m LLM, VRAM: 0.7GB, Context: 125K, License: other, Quantized, Instruction-Based, Merged, LLM Explorer Score: 0.29.
Merged Model Base model:finetune:liquidai/l... Base model:liquidai/lfm2-350m Cheetah Cheetah-350m Conversational Dataset:huggingfacetb/smol-smo... En Endpoints compatible Fp16 Instruct Instruction-tuned Lfm2 Liquid-ai Modal Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Tralalabs/CHEETAH-350M-Merged-FP16
CHEETAH 350M Merged FP16 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)
CHEETAH 350M Merged FP16 Parameters and Internals
| LLM Name | CHEETAH 350M Merged FP16 |
| Repository 🤗 | https://huggingface.co/Tralalabs/CHEETAH-350M-Merged-FP16 |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 350m |
| Required VRAM | 0.7 GB |
| Updated | 2026-06-02 |
| Maintainer | Tralalabs |
| Model Type | lfm2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | fp16 |
| Model Architecture | Lfm2ForCausalLM |
| License | other |
| Context Length | 128000 |
| Model Max Length | 128000 |
| Transformers Version | 5.9.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|pad|> |
| Vocabulary Size | 65536 |
Rank the CHEETAH 350M Merged FP16 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a