Model Card on HF 🤗: https://huggingface.co/mlx-community/llm-jp-3-1.8b-instruct
Llm Jp 3 1.8B Instruct 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)
Llm Jp 3 1.8B Instruct Parameters and Internals
| Model Type |
| |||||||||
| Additional Notes |
| |||||||||
| Supported Languages |
| |||||||||
| Input Output |
|
| LLM Name | Llm Jp 3 1.8B Instruct |
| Repository 🤗 | https://huggingface.co/mlx-community/llm-jp-3-1.8b-instruct |
| Model Size | 1.8b |
| Required VRAM | 3.7 GB |
| Updated | 2025-09-23 |
| Maintainer | mlx-community |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en ja |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <PAD|LLM-jp> |
| Vocabulary Size | 99584 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llm Jp 3 1.8B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llm Jp 3 1.8B Instruct | 4K / 3.7 GB | 2029 | 25 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/llm-jp-3-1.8b-instruct .
Rank the Llm Jp 3 1.8B Instruct Capabilities
🆘 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! 🌟
What open-source LLMs or SLMs are you in search of? 51545 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124