Instructions to use hamg22/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use hamg22/model with Transformers:

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("hamg22/model", dtype="auto")

llama-cpp-python

How to use hamg22/model with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="hamg22/model",
	filename="unsloth.F16.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use hamg22/model with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf hamg22/model:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf hamg22/model:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf hamg22/model:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf hamg22/model:Q4_K_M

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 hamg22/model:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf hamg22/model:Q4_K_M

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 hamg22/model:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf hamg22/model:Q4_K_M

Use Docker

docker model run hf.co/hamg22/model:Q4_K_M

LM Studio
Jan
Ollama
How to use hamg22/model with Ollama:
```
ollama run hf.co/hamg22/model:Q4_K_M
```

Unsloth Studio new

How to use hamg22/model with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for hamg22/model to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for hamg22/model to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for hamg22/model to start chatting

Pi new

How to use hamg22/model with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf hamg22/model:Q4_K_M

Configure the model in Pi

# Install Pi:
npm install -g @mariozechner/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "hamg22/model:Q4_K_M"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Hermes Agent new

How to use hamg22/model with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama-server -hf hamg22/model:Q4_K_M

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 hamg22/model:Q4_K_M

Run Hermes

hermes

Docker Model Runner
How to use hamg22/model with Docker Model Runner:
```
docker model run hf.co/hamg22/model:Q4_K_M
```

Lemonade

How to use hamg22/model with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull hamg22/model:Q4_K_M

Run and chat with the model

lemonade run user.model-Q4_K_M

List all available models

lemonade list

hamg22 commited on Oct 17, 2024

Commit

dc32767

verified ·

1 Parent(s): f3fefa8

(Trained with Unsloth)

Browse files

Files changed (1) hide show

config.json +2 -41

config.json CHANGED Viewed

@@ -1,42 +1,3 @@
 {
-  "_name_or_path": "unsloth/llama-3.2-3b-instruct-bnb-4bit",
-  "architectures": [
-    "LlamaForCausalLM"
-  ],
-  "attention_bias": false,
-  "attention_dropout": 0.0,
-  "bos_token_id": 128000,
-  "eos_token_id": [
-    128001,
-    128008,
-    128009
-  ],
-  "head_dim": 128,
-  "hidden_act": "silu",
-  "hidden_size": 3072,
-  "initializer_range": 0.02,
-  "intermediate_size": 8192,
-  "max_position_embeddings": 131072,
-  "mlp_bias": false,
-  "model_type": "llama",
-  "num_attention_heads": 24,
-  "num_hidden_layers": 28,
-  "num_key_value_heads": 8,
-  "pad_token_id": 128004,
-  "pretraining_tp": 1,
-  "rms_norm_eps": 1e-05,
-  "rope_scaling": {
-    "factor": 32.0,
-    "high_freq_factor": 4.0,
-    "low_freq_factor": 1.0,
-    "original_max_position_embeddings": 8192,
-    "rope_type": "llama3"
-  },
-  "rope_theta": 500000.0,
-  "tie_word_embeddings": true,
-  "torch_dtype": "float16",
-  "transformers_version": "4.44.2",
-  "unsloth_version": "2024.10.0",
-  "use_cache": true,
-  "vocab_size": 128256
-}

 {
+    "model_type": "llama"
+}