Image-Text-to-Text
GGUF
MistralAI
Ministral
Ministral-3
Ollama
Llama.cpp
GGUF
Image-Text-to-Text
Conversational
Quantize
Multimodal
Mistral3
conversational
Instructions to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF 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 EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: llama cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: llama cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
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 EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: ./llama-cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
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 EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL # Run inference directly in the terminal: ./build/bin/llama-cli -hf EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
Use Docker
docker model run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- LM Studio
- Jan
- vLLM
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- Ollama
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with Ollama:
ollama run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- Unsloth Desktop
- Docker Model Runner
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with Docker Model Runner:
docker model run hf.co/EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
- Lemonade
How to use EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull EnlistedGhost/Ministral-3-3B-Instruct-2512-GGUF:Q4_K_XL
Run and chat with the model
lemonade run user.Ministral-3-3B-Instruct-2512-GGUF-Q4_K_XL
List all available models
lemonade list
- Atomic Chat
Fix typo
Browse files
README.md
CHANGED
|
@@ -62,7 +62,7 @@ similar or smaller in size!*
|
|
| 62 |
|
| 63 |
|
| 64 |
**New JINJA Tokenizer Chat-Template:** <br />
|
| 65 |
-
*(This template features a sliding context window of
|
| 66 |
```jinja
|
| 67 |
{%- set ns = namespace(remMessage=false, hasSys=false, injSystem=true) -%}
|
| 68 |
{%- for msg in messages -%}
|
|
|
|
| 62 |
|
| 63 |
|
| 64 |
**New JINJA Tokenizer Chat-Template:** <br />
|
| 65 |
+
*(This template features a sliding context window of TWENTY-NINE (29) messages. <br /> This can be adjusted per-individual requirements simply by altering <br />the number 29 in the template higher or lower in numerical value)*
|
| 66 |
```jinja
|
| 67 |
{%- set ns = namespace(remMessage=false, hasSys=false, injSystem=true) -%}
|
| 68 |
{%- for msg in messages -%}
|