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

Libraries

How to use spmurrayzzz/clefsift with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-classification", model="spmurrayzzz/clefsift")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoProcessor, AutoModelForMultimodalLM

processor = AutoProcessor.from_pretrained("spmurrayzzz/clefsift")
model = AutoModelForMultimodalLM.from_pretrained("spmurrayzzz/clefsift", device_map="auto")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=256)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use spmurrayzzz/clefsift with llama.cpp:

Install (macOS, Linux)

curl -LsSf https://llama.app/install.sh | sh
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf spmurrayzzz/clefsift:Q8_0
# Run inference directly in the terminal:
llama cli -hf spmurrayzzz/clefsift:Q8_0

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf spmurrayzzz/clefsift:Q8_0
# Run inference directly in the terminal:
llama cli -hf spmurrayzzz/clefsift:Q8_0

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf spmurrayzzz/clefsift:Q8_0
# Run inference directly in the terminal:
./llama-cli -hf spmurrayzzz/clefsift:Q8_0

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf spmurrayzzz/clefsift:Q8_0
# Run inference directly in the terminal:
./build/bin/llama-cli -hf spmurrayzzz/clefsift:Q8_0

Use Docker

docker model run hf.co/spmurrayzzz/clefsift:Q8_0

LM Studio
Jan
Ollama
How to use spmurrayzzz/clefsift with Ollama:
```
ollama run hf.co/spmurrayzzz/clefsift:Q8_0
```
Unsloth Desktop

How to use spmurrayzzz/clefsift with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf spmurrayzzz/clefsift:Q8_0

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "spmurrayzzz/clefsift:Q8_0"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use spmurrayzzz/clefsift with Docker Model Runner:
```
docker model run hf.co/spmurrayzzz/clefsift:Q8_0
```

Lemonade

How to use spmurrayzzz/clefsift with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull spmurrayzzz/clefsift:Q8_0

Run and chat with the model

lemonade run user.clefsift-Q8_0

List all available models

lemonade list

Hermes Agent

How to use spmurrayzzz/clefsift with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf spmurrayzzz/clefsift:Q8_0

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 spmurrayzzz/clefsift:Q8_0

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use spmurrayzzz/clefsift with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf spmurrayzzz/clefsift:Q8_0

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 "spmurrayzzz/clefsift:Q8_0" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

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

spmurrayzzz commited on 7 days ago

Commit

bb80ecf

verified ·

1 Parent(s): df424c1

feat: publish clefsift weights

Browse files

@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text

 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
 tokenizer.json filter=lfs diff=lfs merge=lfs -text
+ClefSift-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

+version https://git-lfs.github.com/spec/v1
+oid sha256:1fbdedec7989395973e5364a47dcd4a01a5f419a425b26ba476faed5556cb7fa
+size 28732214816

+version https://git-lfs.github.com/spec/v1
+oid sha256:bfc63f9a37ebc781f48337d1d12ff2697f54ce1c1036dba4ecc73396e5d22259
+size 512237592

+version https://git-lfs.github.com/spec/v1
+oid sha256:54d83c1d36631de231876217a8e0c2483eccee8746369a482b79442bdfc5d958
+size 2542796928

+version https://git-lfs.github.com/spec/v1
+oid sha256:ae993982056316e07775d88b7f99ce12f700c6b2c7e1a788b4bda3493c09d2f3
+size 4842451920

+version https://git-lfs.github.com/spec/v1
+oid sha256:4b4551211e80790c27b137c516caf3b6d81d02e5feb45c0575b774e2d039f468
+size 4965227944

+version https://git-lfs.github.com/spec/v1
+oid sha256:1cd25ef8b38167902d2352c9ed21e6ecd48dfba63b2b576ab503c068d72a76cf
+size 4912819264

+version https://git-lfs.github.com/spec/v1
+oid sha256:ec7294e716befa588895c1dd497dcc5aa46ec891c580c57d486f56c00d9c1f9c
+size 4986198544

+version https://git-lfs.github.com/spec/v1
+oid sha256:1b29da1c4f96ff8563d858faab7a1680f5bbf14995a30f24f63e24acb839225f
+size 4912819320

+version https://git-lfs.github.com/spec/v1
+oid sha256:44fb337b029853e8626b4ddc0726e16f6c7a8daac1251ab88c45cb5f20bb9402
+size 4932703272

+version https://git-lfs.github.com/spec/v1
+oid sha256:db541d3e7d79dc3cb8cc4b71681e65163fd86759fd06ec70981a1b9208aeae54
+size 4966314576

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:70c11c8774aca283286823b680f371e92b9fe5cd964564d36b26b4afeef3a793
+size 4964162248

+version https://git-lfs.github.com/spec/v1
+oid sha256:5a0acd24ee0c677bdb40a10890775674be3dbfdeae4af43db1221503115a0593
+size 4933789824

+version https://git-lfs.github.com/spec/v1
+oid sha256:9b8580952ed5d67ecf0eef94533c678ce1ea0fa46d227d0d7813b395059d57bd
+size 4965228032

+version https://git-lfs.github.com/spec/v1
+oid sha256:271ca81cec9ed53fd04dd75bcdfd70540d8a296aaa036ac71c6c517ca26659fa
+size 2789094896