Base model:finetune:nikity/lil... Base model:nikity/lille-130m-b... Conversational Dataset:nikity/kyoto-corpus En Fp16 Instruct Lille-130m Model-index Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/mlx-community/lille-130m-instruct-fp16
Lille 130M Instruct 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)
Lille 130M Instruct Fp16 Parameters and Internals
| LLM Name | Lille 130M Instruct Fp16 |
| Repository 🤗 | https://huggingface.co/mlx-community/lille-130m-instruct-fp16 |
| Base Model(s) | |
| Model Size | 130m |
| Required VRAM | 0.5 GB |
| Updated | 2025-09-06 |
| Maintainer | mlx-community |
| Model Type | lille-130m |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | fp16 |
| Model Architecture | LilleForCausalLM |
| License | apache-2.0 |
| Model Max Length | 512 |
| Transformers Version | 4.53.3 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|pad|> |
| Vocabulary Size | 32768 |
| Torch Data Type | float32 |
| Errors | replace |
Rank the Lille 130M Instruct Fp16 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124