Autotrain compatible Conversational En Instruct Ja Llama Mlx Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/mlx-community/llm-jp-3-3.7b-instruct
Llm Jp 3 3.7B 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 3.7B Instruct Parameters and Internals
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| LLM Name | Llm Jp 3 3.7B Instruct |
| Repository 🤗 | https://huggingface.co/mlx-community/llm-jp-3-3.7b-instruct |
| Model Size | 3.7b |
| Required VRAM | 7.6 GB |
| Updated | 2024-12-21 |
| 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 3.7B Instruct
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Llm Jp 3 3.7B Instruct | 4K / 7.6 GB | 69323 | 9 |
| ...3 3.7B Instruct EZO Humanities | 4K / 7.6 GB | 333 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than mlx-community/llm-jp-3-3.7b-instruct .
Rank the Llm Jp 3 3.7B Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217