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--- |
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license: apache-2.0 |
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base_model: allura-org/Q3-8B-Kintsugi |
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library_name: mlx |
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tags: |
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- mergekit |
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- axolotl |
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- unsloth |
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- roleplay |
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- conversational |
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- mlx |
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datasets: |
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- PygmalionAI/PIPPA |
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- Alfitaria/nemotron-ultra-reasoning-synthkink |
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- PocketDoc/Dans-Prosemaxx-Gutenberg |
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- FreedomIntelligence/Medical-R1-Distill-Data |
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- cognitivecomputations/SystemChat-2.0 |
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- allenai/tulu-3-sft-personas-instruction-following |
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- kalomaze/Opus_Instruct_25k |
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- simplescaling/s1K-claude-3-7-sonnet |
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- ai2-adapt-dev/flan_v2_converted |
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- grimulkan/theory-of-mind |
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- grimulkan/physical-reasoning |
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- nvidia/HelpSteer3 |
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- nbeerbower/gutenberg2-dpo |
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- nbeerbower/gutenberg-moderne-dpo |
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- nbeerbower/Purpura-DPO |
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- antiven0m/physical-reasoning-dpo |
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- allenai/tulu-3-IF-augmented-on-policy-70b |
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- NobodyExistsOnTheInternet/system-message-DPO |
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pipeline_tag: text-generation |
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--- |
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# soundTeam/Q3-8B-Kintsugi_mlx |
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This model [soundTeam/Q3-8B-Kintsugi_mlx](https://huggingface.co/soundTeam/Q3-8B-Kintsugi_mlx) was |
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converted to MLX format from [allura-org/Q3-8B-Kintsugi](https://huggingface.co/allura-org/Q3-8B-Kintsugi) |
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using mlx-lm version **0.25.2**. |
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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("soundTeam/Q3-8B-Kintsugi_mlx") |
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prompt = "hello" |
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if 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, 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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