SakThai Model Family
Collection
All SakThai models and datasets โ tool-calling LLMs, embeddings, code, vision, TTS, and training data. โข 14 items โข Updated
How to use Nanthasit/sakthai-vision-7b with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Nanthasit/sakthai-vision-7b", filename="gguf/sakthai-vision-7b-q4_k_m.gguf", )
llm.create_chat_completion( messages = "No input example has been defined for this model task." )
How to use Nanthasit/sakthai-vision-7b with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf Nanthasit/sakthai-vision-7b:Q4_K_M # Run inference directly in the terminal: llama cli -hf Nanthasit/sakthai-vision-7b:Q4_K_M
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Nanthasit/sakthai-vision-7b:Q4_K_M # Run inference directly in the terminal: llama cli -hf Nanthasit/sakthai-vision-7b:Q4_K_M
# 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 Nanthasit/sakthai-vision-7b:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf Nanthasit/sakthai-vision-7b:Q4_K_M
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 Nanthasit/sakthai-vision-7b:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf Nanthasit/sakthai-vision-7b:Q4_K_M
docker model run hf.co/Nanthasit/sakthai-vision-7b:Q4_K_M
How to use Nanthasit/sakthai-vision-7b with Ollama:
ollama run hf.co/Nanthasit/sakthai-vision-7b:Q4_K_M
How to use Nanthasit/sakthai-vision-7b with Unsloth Studio:
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 Nanthasit/sakthai-vision-7b to start chatting
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 Nanthasit/sakthai-vision-7b to start chatting
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Nanthasit/sakthai-vision-7b to start chatting
How to use Nanthasit/sakthai-vision-7b with Docker Model Runner:
docker model run hf.co/Nanthasit/sakthai-vision-7b:Q4_K_M
How to use Nanthasit/sakthai-vision-7b with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Nanthasit/sakthai-vision-7b:Q4_K_M
lemonade run user.sakthai-vision-7b-Q4_K_M
lemonade list
Multimodal vision model (LLaVA 1.5 7B) quantized to GGUF Q4_K_M. Understands images and answers questions about them.
llama-cli -m llava-1.5-7b-hf-q4_k_m.gguf --mmproj mmproj-model-f16.gguf \
-p "Describe this image" --image photo.jpg
| Property | Value |
|---|---|
| Base model | LLaVA 1.5 7B |
| Format | GGUF Q4_K_M |
| Size | 3.9 GB |
| RAM needed | 8 GB+ |
| Use case | Image understanding, visual QA |
| Model | Type | Downloads |
|---|---|---|
| sakthai-embedding | sentence-similarity | 28 |
| sakthai-context-0.5b-tools | text-generation | 7 |
| sakthai-context-0.5b-merged | text-generation | 785 |
| sakthai-context-1.5b-tools | text-generation | 115 |
| sakthai-context-1.5b-merged | text-generation | 942 |
| sakthai-context-7b-tools | text-generation | 147 |
| sakthai-context-7b-merged | text-generation | 534 |
| sakthai-context-7b-128k | text-generation | 324 |
| sakthai-coder-1.5b | text-generation | 15 |
๐ Full Collection
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