Instructions to use DFveloper/Spotwrite-1-gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use DFveloper/Spotwrite-1-gguf with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="DFveloper/Spotwrite-1-gguf",
	filename="4bit gguf/Zeta_Spotwrite-1_4bit.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 DFveloper/Spotwrite-1-gguf with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf DFveloper/Spotwrite-1-gguf:F16
# Run inference directly in the terminal:
llama-cli -hf DFveloper/Spotwrite-1-gguf:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf DFveloper/Spotwrite-1-gguf:F16
# Run inference directly in the terminal:
llama-cli -hf DFveloper/Spotwrite-1-gguf:F16

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 DFveloper/Spotwrite-1-gguf:F16
# Run inference directly in the terminal:
./llama-cli -hf DFveloper/Spotwrite-1-gguf:F16

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 DFveloper/Spotwrite-1-gguf:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf DFveloper/Spotwrite-1-gguf:F16

Use Docker

docker model run hf.co/DFveloper/Spotwrite-1-gguf:F16

LM Studio
Jan
Ollama
How to use DFveloper/Spotwrite-1-gguf with Ollama:
```
ollama run hf.co/DFveloper/Spotwrite-1-gguf:F16
```

Unsloth Studio new

How to use DFveloper/Spotwrite-1-gguf 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 DFveloper/Spotwrite-1-gguf 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 DFveloper/Spotwrite-1-gguf to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for DFveloper/Spotwrite-1-gguf to start chatting

Docker Model Runner
How to use DFveloper/Spotwrite-1-gguf with Docker Model Runner:
```
docker model run hf.co/DFveloper/Spotwrite-1-gguf:F16
```

Lemonade

How to use DFveloper/Spotwrite-1-gguf with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull DFveloper/Spotwrite-1-gguf:F16

Run and chat with the model

lemonade run user.Spotwrite-1-gguf-F16

List all available models

lemonade list

Spotwrite-1-gguf

File size: 619 Bytes

d1e685f

{
  "architectures": [
    "MistralForCausalLM"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "eos_token_id": 2,
  "head_dim": 128,
  "hidden_act": "silu",
  "hidden_size": 5120,
  "initializer_range": 0.02,
  "intermediate_size": 32768,
  "max_position_embeddings": 32768,
  "model_type": "mistral",
  "num_attention_heads": 32,
  "num_hidden_layers": 40,
  "num_key_value_heads": 8,
  "rms_norm_eps": 1e-05,
  "rope_theta": 100000000.0,
  "sliding_window": null,
  "tie_word_embeddings": false,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.51.3",
  "use_cache": false,
  "vocab_size": 131074
}