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Model: mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0 Source: Original Platform
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README.md
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---
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language:
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- en
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- ja
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license: apache-2.0
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library_name: transformers
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tags:
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- mlx
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datasets:
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- databricks/databricks-dolly-15k
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- llm-jp/databricks-dolly-15k-ja
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- llm-jp/oasst1-21k-en
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- llm-jp/oasst1-21k-ja
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- llm-jp/oasst2-33k-en
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- llm-jp/oasst2-33k-ja
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programming_language:
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- C
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- C++
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- C#
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- Go
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- Java
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- JavaScript
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- Lua
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- PHP
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- Python
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- Ruby
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- Rust
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- Scala
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- TypeScript
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pipeline_tag: text-generation
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inference: false
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---
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# mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0
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This model was converted to MLX format from [`llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0`]() using mlx-lm version **0.12.0**.
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Refer to the [original model card](https://huggingface.co/llm-jp/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0) for more details on the model.
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## Use with mlx
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```bash
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pip install mlx-lm
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```
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```python
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from mlx_lm import load, generate
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model, tokenizer = load("mlx-community/llm-jp-13b-instruct-full-dolly-ichikara_004_001_single-oasst-oasst2-v2.0")
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response = generate(model, tokenizer, prompt="hello", verbose=True)
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```
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