Text Generation
MLX
Safetensors
qwen2
4-bit precision
4bit
apple-silicon
chain-of-thought
chat
conversational
deepseek
deepseek-r1
deepseek-r1-distill
edge-ai
function-calling
instruct
local-llm
m1
m2
m3
m4
mac
mac-mini
mac-studio
macbook-air
macbook-pro
macos
metal
mlx-community
mlx-lm
no-cloud
offline
on-device
outlier
outlier-app
private
quantized
r1
r1-distill
reasoning
thinking
Instructions to use Outlier-Ai/DeepSeek-R1-Distill-Qwen-32B-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Outlier-Ai/DeepSeek-R1-Distill-Qwen-32B-MLX-4bit with MLX:
# Make sure mlx-lm is installed # pip install --upgrade mlx-lm # Generate text with mlx-lm from mlx_lm import load, generate model, tokenizer = load("Outlier-Ai/DeepSeek-R1-Distill-Qwen-32B-MLX-4bit") prompt = "Write a story about Einstein" messages = [{"role": "user", "content": prompt}] prompt = tokenizer.apply_chat_template( messages, add_generation_prompt=True ) text = generate(model, tokenizer, prompt=prompt, verbose=True) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- MLX LM
How to use Outlier-Ai/DeepSeek-R1-Distill-Qwen-32B-MLX-4bit with MLX LM:
Generate or start a chat session
# Install MLX LM uv tool install mlx-lm # Interactive chat REPL mlx_lm.chat --model "Outlier-Ai/DeepSeek-R1-Distill-Qwen-32B-MLX-4bit"
Run an OpenAI-compatible server
# Install MLX LM uv tool install mlx-lm # Start the server mlx_lm.server --model "Outlier-Ai/DeepSeek-R1-Distill-Qwen-32B-MLX-4bit" # Calling the OpenAI-compatible server with curl curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Outlier-Ai/DeepSeek-R1-Distill-Qwen-32B-MLX-4bit", "messages": [ {"role": "user", "content": "Hello"} ] }' - Atomic Chat
docs: add 12 SEO tags (chat, deepseek, deepseek-r1, instruct, mac-mini...)
Browse files
README.md
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base_model_relation: quantized
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quantized_by: Outlier-Ai
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widget:
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- example_title: Widget math
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messages:
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- role: user
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content:
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- example_title: Logic grid
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messages:
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- example_title: Word problem
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---
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# DeepSeek-R1-Distill-Qwen-32B — MLX 4-bit
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base_model_relation: quantized
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quantized_by: Outlier-Ai
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tags:
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- 4-bit
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- 4bit
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- apple-silicon
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- chain-of-thought
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- chat
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- conversational
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- deepseek
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- deepseek-r1
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- deepseek-r1-distill
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- edge-ai
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- function-calling
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- instruct
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- local-llm
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- m1
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- m2
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- m3
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- m4
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- mac
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- mac-mini
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- mac-studio
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- macbook-air
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- macbook-pro
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- macos
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- metal
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- mlx
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- mlx-community
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- mlx-lm
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- no-cloud
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- offline
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- on-device
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- outlier
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- outlier-app
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- private
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- quantized
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- r1
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- r1-distill
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- reasoning
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- safetensors
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- text-generation
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- thinking
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language:
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- en
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- zh
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- fr
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- es
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- pt
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- ru
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- ja
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- ko
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- ar
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widget:
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- example_title: Widget math
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messages:
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- role: user
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content: If it takes 5 machines 5 minutes to make 5 widgets, how long would it
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take 100 machines to make 100 widgets? Show reasoning.
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- example_title: Logic grid
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messages:
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- role: user
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content: Alice, Bob, and Carol each own a different pet. Alice does not own the
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dog. Bob owns the parrot. Who owns what?
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- example_title: Word problem
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messages:
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- role: user
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content: A train leaves station A at 60 mph and another leaves station B, 180
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miles away, at 40 mph toward each other. When do they meet?
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---
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# DeepSeek-R1-Distill-Qwen-32B — MLX 4-bit
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