Instructions to use chriscelaya/minecraft-ai-tinyllama with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chriscelaya/minecraft-ai-tinyllama with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("chriscelaya/minecraft-ai-tinyllama", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use chriscelaya/minecraft-ai-tinyllama 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 chriscelaya/minecraft-ai-tinyllama:Q4_K_M # Run inference directly in the terminal: llama cli -hf chriscelaya/minecraft-ai-tinyllama:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf chriscelaya/minecraft-ai-tinyllama:Q4_K_M # Run inference directly in the terminal: llama cli -hf chriscelaya/minecraft-ai-tinyllama: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 chriscelaya/minecraft-ai-tinyllama:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf chriscelaya/minecraft-ai-tinyllama: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 chriscelaya/minecraft-ai-tinyllama:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf chriscelaya/minecraft-ai-tinyllama:Q4_K_M
Use Docker
docker model run hf.co/chriscelaya/minecraft-ai-tinyllama:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use chriscelaya/minecraft-ai-tinyllama with Ollama:
ollama run hf.co/chriscelaya/minecraft-ai-tinyllama:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use chriscelaya/minecraft-ai-tinyllama with Docker Model Runner:
docker model run hf.co/chriscelaya/minecraft-ai-tinyllama:Q4_K_M
- Lemonade
How to use chriscelaya/minecraft-ai-tinyllama with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull chriscelaya/minecraft-ai-tinyllama:Q4_K_M
Run and chat with the model
lemonade run user.minecraft-ai-tinyllama-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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---
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base_model: unsloth/
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tags:
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- text-generation-inference
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- transformers
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## Model Initialization
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Load the **
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```python
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from unsloth import FastLanguageModel
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import torch
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name="unsloth/
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max_seq_length=2048,
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dtype=torch.bfloat16,
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load_in_4bit=True,
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---
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base_model: unsloth/tinyllama-bnb-4bit
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tags:
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- text-generation-inference
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- transformers
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## Model Initialization
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Load the **Tinyllama** model with 4-bit quantization for reduced resource usage:
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```python
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from unsloth import FastLanguageModel
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import torch
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model, tokenizer = FastLanguageModel.from_pretrained(
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model_name="unsloth/tinyllama-bnb-4bit",
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max_seq_length=2048,
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dtype=torch.bfloat16,
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load_in_4bit=True,
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