Llm Jp 4 8B Thinking 4bit is an open-source language model by mlx-community. Features: 8b LLM, VRAM: 4.8GB, Context: 64K, License: apache-2.0, Quantized.
| LLM Name | Llm Jp 4 8B Thinking 4bit |
| Repository 🤗 | https://huggingface.co/mlx-community/llm-jp-4-8b-thinking-4bit |
| Base Model(s) | |
| Model Size | 8b |
| Required VRAM | 4.8 GB |
| Updated | 2026-04-25 |
| Maintainer | mlx-community |
| Model Type | llama |
| Model Files | |
| Supported Languages | en ja |
| Quantization Type | 4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 65536 |
| Model Max Length | 65536 |
| Transformers Version | 4.51.0 |
| Tokenizer Class | TokenizersBackend |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 196608 |
| Torch Data Type | bfloat16 |
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...B Instruct Gradient 1048K 4bit | 1024K / 4.5 GB | 16 | 2 |
| ...B Instruct Gradient 1048K 8bit | 1024K / 8.6 GB | 10 | 1 |
| ...truct Gradient 1048K Bpw6 EXL2 | 1024K / 6.7 GB | 9 | 2 |
| ...truct Gradient 1048K Bpw5 EXL2 | 1024K / 5.8 GB | 5 | 0 |
| Llama 3 8B Instruct 1048K 4bit | 1024K / 4.5 GB | 623 | 25 |
| Llama 3 8B Instruct 1048K 8bit | 1024K / 8.6 GB | 307 | 17 |
| ... Gradient 1048K 8.0bpw H8 EXL2 | 1024K / 8.6 GB | 5 | 3 |
| ...ct Gradient 1048K Bpw2.25 EXL2 | 1024K / 3.4 GB | 5 | 1 |
| Llama 3 8B Instruct 262K 2bit | 256K / 2.5 GB | 27 | 1 |
| ...B Instruct 262k V2 EXL2 8.0bpw | 256K / 8.4 GB | 7 | 0 |
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