Image-Text-to-Text
Safetensors
GGUF
idefics3
vision-language
card-extraction
mobile-optimized
lora
continual-learning
structured-data
conversational
Eval Results (legacy)
Instructions to use sugiv/cardvaultplus 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 sugiv/cardvaultplus 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 sugiv/cardvaultplus:F16 # Run inference directly in the terminal: llama cli -hf sugiv/cardvaultplus:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf sugiv/cardvaultplus:F16 # Run inference directly in the terminal: llama cli -hf sugiv/cardvaultplus: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 sugiv/cardvaultplus:F16 # Run inference directly in the terminal: ./llama-cli -hf sugiv/cardvaultplus: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 sugiv/cardvaultplus:F16 # Run inference directly in the terminal: ./build/bin/llama-cli -hf sugiv/cardvaultplus:F16
Use Docker
docker model run hf.co/sugiv/cardvaultplus:F16
- LM Studio
- Jan
- vLLM
How to use sugiv/cardvaultplus with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "sugiv/cardvaultplus" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "sugiv/cardvaultplus", "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/sugiv/cardvaultplus:F16
- Ollama
How to use sugiv/cardvaultplus with Ollama:
ollama run hf.co/sugiv/cardvaultplus:F16
- Unsloth Desktop
- Docker Model Runner
How to use sugiv/cardvaultplus with Docker Model Runner:
docker model run hf.co/sugiv/cardvaultplus:F16
- Lemonade
How to use sugiv/cardvaultplus with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull sugiv/cardvaultplus:F16
Run and chat with the model
lemonade run user.cardvaultplus-F16
List all available models
lemonade list
- Atomic Chat
| { | |
| "add_prefix_space": false, | |
| "added_tokens_decoder": { | |
| "0": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "1": { | |
| "content": "<|im_start|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "2": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "3": { | |
| "content": "<repo_name>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "4": { | |
| "content": "<reponame>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "5": { | |
| "content": "<file_sep>", | |
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| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "6": { | |
| "content": "<filename>", | |
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| }, | |
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| "content": "<gh_stars>", | |
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| "content": "<issue_start>", | |
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| "single_word": false, | |
| "special": true | |
| }, | |
| "9": { | |
| "content": "<issue_comment>", | |
| "lstrip": false, | |
| "normalized": false, | |
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| "single_word": false, | |
| "special": true | |
| }, | |
| "10": { | |
| "content": "<issue_closed>", | |
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| "single_word": false, | |
| "special": true | |
| }, | |
| "11": { | |
| "content": "<jupyter_start>", | |
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| "special": true | |
| }, | |
| "12": { | |
| "content": "<jupyter_text>", | |
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| "13": { | |
| "content": "<jupyter_code>", | |
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| "content": "<jupyter_script>", | |
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| "16": { | |
| "content": "<empty_output>", | |
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| "special": true | |
| }, | |
| "49152": { | |
| "content": "<fake_token_around_image>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "49153": { | |
| "content": "<image>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| }, | |
| "49154": { | |
| "content": "<end_of_utterance>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false, | |
| "special": true | |
| } | |
| }, | |
| "additional_special_tokens": [ | |
| "<fake_token_around_image>", | |
| "<image>", | |
| "<end_of_utterance>" | |
| ], | |
| "bos_token": "<|im_start|>", | |
| "clean_up_tokenization_spaces": false, | |
| "eos_token": "<end_of_utterance>", | |
| "extra_special_tokens": {}, | |
| "legacy": false, | |
| "model_max_length": 16384, | |
| "pad_token": "<|im_end|>", | |
| "processor_class": "Idefics3Processor", | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "truncation_side": "left", | |
| "unk_token": "<|endoftext|>", | |
| "vocab_size": 49152 | |
| } | |