d8d2bad59c
Model: isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16 Source: Original Platform
61 lines
1.5 KiB
Markdown
61 lines
1.5 KiB
Markdown
---
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language:
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- en
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license: llama3.1
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pipeline_tag: text-generation
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tags:
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- roleplay
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- llama3
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- sillytavern
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- idol
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- facebook
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- meta
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- pytorch
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- llama
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- llama-3
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- mlx
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- mlx-my-repo
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base_model: aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored
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extra_gated_fields:
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First Name: text
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Last Name: text
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Date of birth: date_picker
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Country: country
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Affiliation: text
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Job title:
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type: select
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options:
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- Student
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- Research Graduate
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- AI researcher
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- AI developer/engineer
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- Reporter
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- Other
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---
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# isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16
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The Model [isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16](https://huggingface.co/isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16) was converted to MLX format from [aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored](https://huggingface.co/aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored) using mlx-lm version **0.29.1**.
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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("isetnefret/DarkIdol-Llama-3.1-8B-Instruct-1.3-Uncensored-mlx-fp16")
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prompt="hello"
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if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
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messages = [{"role": "user", "content": prompt}]
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prompt = tokenizer.apply_chat_template(
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messages, tokenize=False, add_generation_prompt=True
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)
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response = generate(model, tokenizer, prompt=prompt, verbose=True)
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```
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