Instructions to use juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit 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("juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit")

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

How to use juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit"

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": "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

OpenClaw new

How to use juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit"

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit" \
  --custom-provider-id mlx-lm \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

MLX LM

How to use juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit"

Run an OpenAI-compatible server

# Install MLX LM
uv tool install mlx-lm
# Start the server
mlx_lm.server --model "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit"
# Calling the OpenAI-compatible server with curl
curl -X POST "http://localhost:8000/v1/chat/completions" \
   -H "Content-Type: application/json" \
   --data '{
     "model": "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit",
     "messages": [
       {"role": "user", "content": "Hello"}
     ]
   }'

Hermes Agent

How to use juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit 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 "juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit"

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 juanquivilla/sotto-cleanup-lfm25-350m-mlx-5bit

Run Hermes

hermes

juanquivilla commited on Apr 1

Commit

0fab633

verified ·

1 Parent(s): 0c7ca8a

v7: 5-bit MLX, ROUGE-L 0.943

Browse files

Files changed (2) hide show

README.md +2 -2
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -1,7 +1,7 @@
 ---
 language: en
-library_name: mlx
 tags:
 - mlx
-pipeline_tag: text-generation
 ---

 ---
 language: en
+pipeline_tag: text-generation
 tags:
 - mlx
+library_name: mlx
 ---

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a11f39dd66aad83ae2d2459b7cc8091063dd2532ea31bf9ccb3b3dae53202cd3
 size 243830226

 version https://git-lfs.github.com/spec/v1
+oid sha256:c3d11ae83793305087d53be408fa1bfe375c99bceb25fbbe18037ec390bcaa8c
 size 243830226