83 lines
3.8 KiB
Markdown
83 lines
3.8 KiB
Markdown
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---
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base_model: DQN-Labs/dqnMath-v0.1-3B-HF
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library_name: mlx
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language:
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- en
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- fr
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- es
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- de
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- it
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- pt
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- nl
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- zh
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- ja
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- ko
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- ar
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license: apache-2.0
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inference: true
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pipeline_tag: text-generation
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tags:
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- mlx
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---
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# GGUF Files for dqnMath-v0.1-3B-HF
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These are the GGUF files for [DQN-Labs/dqnMath-v0.1-3B-HF](https://huggingface.co/DQN-Labs/dqnMath-v0.1-3B-HF).
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## Downloads
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| GGUF Link | Quantization | Description |
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| ---- | ----- | ----------- |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q2_K.gguf) | Q2_K | Lowest quality |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q3_K_S.gguf) | Q3_K_S | |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.IQ3_S.gguf) | IQ3_S | Integer quant, preferable over Q3_K_S |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.IQ3_M.gguf) | IQ3_M | Integer quant |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q3_K_M.gguf) | Q3_K_M | |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q3_K_L.gguf) | Q3_K_L | |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.IQ4_XS.gguf) | IQ4_XS | Integer quant |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q4_K_S.gguf) | Q4_K_S | Fast with good performance |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q4_K_M.gguf) | Q4_K_M | **Recommended:** Perfect mix of speed and performance |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q5_K_S.gguf) | Q5_K_S | |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q5_K_M.gguf) | Q5_K_M | |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q6_K.gguf) | Q6_K | Very good quality |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.Q8_0.gguf) | Q8_0 | Best quality |
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| [Download](https://huggingface.co/Flexan/DQN-Labs-dqnMath-v0.1-3B-HF-GGUF/resolve/main/dqnMath-v0.1-3B-HF.f16.gguf) | f16 | Full precision, don't bother; use a quant |
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## Note from Flexan
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I provide GGUFs and quantizations of publicly available models that do not have a GGUF equivalent available yet,
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usually for models **I deem interesting and wish to try out**.
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If there are some quants missing that you'd like me to add, you may request one in the community tab.
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If you want to request a public model to be converted, you can also request that in the community tab.
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If you have questions regarding this model, please refer to [the original model repo](https://huggingface.co/DQN-Labs/dqnMath-v0.1-3B-HF).
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You can find more info about me and what I do [here](https://huggingface.co/Flexan/Flexan).
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# DQN-Labs/dqnMath-v0.1-3B-HF
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This model [DQN-Labs/dqnMath-v0.1-3B-HF](https://huggingface.co/DQN-Labs/dqnMath-v0.1-3B-HF) was
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converted to MLX format from [LakoMoor/Ministral-3-3B-Text-Only](https://huggingface.co/LakoMoor/Ministral-3-3B-Text-Only)
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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("DQN-Labs/dqnMath-v0.1-3B-HF")
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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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