Instructions to use mlx-community/context-1-MLX-4bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mlx-community/context-1-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("mlx-community/context-1-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
LM Studio

Pi new

How to use mlx-community/context-1-MLX-4bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/context-1-MLX-4bit"

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "mlx-lm": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "mlx-community/context-1-MLX-4bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use mlx-community/context-1-MLX-4bit with Hermes Agent:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "mlx-community/context-1-MLX-4bit"

Configure Hermes

# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup
# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default mlx-community/context-1-MLX-4bit

Run Hermes

hermes

MLX LM

How to use mlx-community/context-1-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 "mlx-community/context-1-MLX-4bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "mlx-community/context-1-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": "mlx-community/context-1-MLX-4bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

FaisalFehad commited on Mar 31

Commit

51cce46

verified ·

1 Parent(s): 72dd8a4

Upload README.md with huggingface_hub

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README.md +18 -2

README.md CHANGED Viewed

@@ -13,9 +13,11 @@ tags:
 - quantized
 - apple-silicon
 - text-generation
 - agentic
 - retrieval
 - search
 - lm-studio
 ---
@@ -23,6 +25,9 @@ tags:
 MLX quantization of [chromadb/context-1](https://huggingface.co/chromadb/context-1) for Apple Silicon.
 ## Key Specs
 | Detail | Value |
@@ -35,6 +40,9 @@ MLX quantization of [chromadb/context-1](https://huggingface.co/chromadb/context
 | Attention | Alternating sliding window (128 tokens) + full attention |
 | Quantization | 4-bit affine, group size 64 |
 | Original Precision | BF16 |
 ## What is Context-1?
@@ -48,9 +56,17 @@ Key capabilities:
 Performance: comparable to frontier LLMs at a fraction of the cost, up to **10x faster inference**.
 ## Requirements
-- Apple Silicon Mac with sufficient unified memory
 - `mlx-lm >= 0.31.2`
 ```bash
@@ -80,7 +96,7 @@ print(response)
 ### LM Studio
-This model is compatible with [LM Studio](https://lmstudio.ai) on Apple Silicon. Search for `context-1-MLX-4bit` in the model browser.
 ## Important: Agent Harness

 - quantized
 - apple-silicon
 - text-generation
+- conversational
 - agentic
 - retrieval
 - search
+- tool-calling
 - lm-studio
 ---
 MLX quantization of [chromadb/context-1](https://huggingface.co/chromadb/context-1) for Apple Silicon.
+- Converted with [mlx-lm](https://github.com/ml-explore/mlx-lm) version 0.31.2
+- Also available: [context-1-MLX-6bit](https://huggingface.co/mlx-community/context-1-MLX-6bit)
 ## Key Specs
 | Detail | Value |
 | Attention | Alternating sliding window (128 tokens) + full attention |
 | Quantization | 4-bit affine, group size 64 |
 | Original Precision | BF16 |
+| Disk Size | ~11 GB |
+| Peak Memory | ~12 GB |
+| Chat Template | Supported |
 ## What is Context-1?
 Performance: comparable to frontier LLMs at a fraction of the cost, up to **10x faster inference**.
+## Performance on Apple Silicon
+| Metric | Value |
+|---|---|
+| Prompt Processing | 227 tokens/sec |
+| Generation | 172 tokens/sec |
+| Peak Memory | 12 GB |
 ## Requirements
+- Apple Silicon Mac with 16GB+ unified memory
 - `mlx-lm >= 0.31.2`
 ```bash
 ### LM Studio
+This model is compatible with [LM Studio](https://lmstudio.ai) on Apple Silicon. Search for `context-1-MLX-4bit` in the model browser and download directly.
 ## Important: Agent Harness