Model Card on HF 🤗: https://huggingface.co/llm-jp/llm-jp-3-1.8b
Llm Jp 3 1.8B 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 Parameters and Internals
| LLM Name | Llm Jp 3 1.8B |
| Repository 🤗 | https://huggingface.co/llm-jp/llm-jp-3-1.8b |
| Model Size | 1.8b |
| Required VRAM | 3.7 GB |
| Updated | 2025-09-23 |
| Maintainer | llm-jp |
| Model Type | llama |
| Model Files | |
| Supported Languages | en ja |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <PAD|LLM-jp> |
| Vocabulary Size | 99584 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llm Jp 3 1.8B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ssh 1.8B | 8K / 3.7 GB | 5 | 0 |
| EasyContext 256K Danube2 1.8B | 8K / 3.7 GB | 6 | 5 |
| Llm Jp 3.1 1.8B Instruct4 | 4K / 3.7 GB | 4489 | 9 |
| Llm Jp 3 1.8B Instruct3 | 4K / 3.7 GB | 1099 | 2 |
| Llm Jp 3 1.8B Instruct | 4K / 3.7 GB | 2029 | 25 |
| Qwen1.5 1.8B Llamafy | 4K / 3.7 GB | 2 | 1 |
| Llm Jp 3 1.8B Instruct | 4K / 3.7 GB | 16 | 0 |
| Tinyllama 1.8B Trismegistus | 2K / 1.9 GB | 7 | 3 |
| Llama1 S 1.8B Experimental | 2K / 7.3 GB | 8 | 4 |
| TinyChat 1776K | 0.3K / 0 GB | 6 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than llm-jp/llm-jp-3-1.8b .
Rank the Llm Jp 3 1.8B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124