Instructions to use Italianhype/Blum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Italianhype/Blum 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("Italianhype/Blum")

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 Italianhype/Blum with Pi:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Italianhype/Blum"

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": "Italianhype/Blum"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use Italianhype/Blum 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 "Italianhype/Blum"

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 Italianhype/Blum

Run Hermes

hermes

OpenClaw new

How to use Italianhype/Blum with OpenClaw:

Start the MLX server

# Install MLX LM:
uv tool install mlx-lm
# Start a local OpenAI-compatible server:
mlx_lm.server --model "Italianhype/Blum"

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 "Italianhype/Blum" \
  --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 Italianhype/Blum with MLX LM:

Generate or start a chat session

# Install MLX LM
uv tool install mlx-lm
# Interactive chat REPL
mlx_lm.chat --model "Italianhype/Blum"

Run an OpenAI-compatible server

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

Blum / CONTRIBUTING.md

Italianhype

Add files using upload-large-folder tool

bc6dcef verified 3 days ago

preview code

Raw

History Blame Contribute Delete

686 Bytes

metadata

license: cc-by-4.0
task_categories:
  - text-generation
tags:
  - finance
  - human-feedback
  - quarantine

BLUM Finance Memory

Opt-in community contributions for future BLUM Finance research.

Every contribution is quarantined. Uploading an example does not update the released model, BLUM Engine memory, trading weights or production rules. Contributions must pass schema, privacy, provenance, licensing, deduplication, poisoning and outcome quality checks before they can enter a future versioned training dataset.

Installation and inference collect no telemetry. A contribution is created only by running blum-contribute with explicit consent and reviewing the local bundle.