Instructions to use IQSeC-Lab/BinSIGHT-Dobby 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 IQSeC-Lab/BinSIGHT-Dobby 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 IQSeC-Lab/BinSIGHT-Dobby:Q8_0 # Run inference directly in the terminal: llama cli -hf IQSeC-Lab/BinSIGHT-Dobby:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf IQSeC-Lab/BinSIGHT-Dobby:Q8_0 # Run inference directly in the terminal: llama cli -hf IQSeC-Lab/BinSIGHT-Dobby:Q8_0
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 IQSeC-Lab/BinSIGHT-Dobby:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf IQSeC-Lab/BinSIGHT-Dobby:Q8_0
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 IQSeC-Lab/BinSIGHT-Dobby:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf IQSeC-Lab/BinSIGHT-Dobby:Q8_0
Use Docker
docker model run hf.co/IQSeC-Lab/BinSIGHT-Dobby:Q8_0
- LM Studio
- Jan
- Ollama
How to use IQSeC-Lab/BinSIGHT-Dobby with Ollama:
ollama run hf.co/IQSeC-Lab/BinSIGHT-Dobby:Q8_0
- Unsloth Studio
How to use IQSeC-Lab/BinSIGHT-Dobby 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 IQSeC-Lab/BinSIGHT-Dobby 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 IQSeC-Lab/BinSIGHT-Dobby to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for IQSeC-Lab/BinSIGHT-Dobby to start chatting
- Docker Model Runner
How to use IQSeC-Lab/BinSIGHT-Dobby with Docker Model Runner:
docker model run hf.co/IQSeC-Lab/BinSIGHT-Dobby:Q8_0
- Lemonade
How to use IQSeC-Lab/BinSIGHT-Dobby with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull IQSeC-Lab/BinSIGHT-Dobby:Q8_0
Run and chat with the model
lemonade run user.BinSIGHT-Dobby-Q8_0
List all available models
lemonade list
- Atomic Chat
vixxi commited on
Commit ·
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Parent(s): 97700dd
New trained model
Browse files- .gitattributes +2 -2
- Modelfile +1 -1
- README.md +6 -9
- config.json +31 -28
- llama-3-8b-instruct.Q8_0.gguf +2 -2
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---
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#
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This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
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**Example usage**:
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## Available Model files:
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## Ollama
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An Ollama Modelfile is included for easy deployment.
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## Note
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The model's BOS token behavior was adjusted for GGUF compatibility.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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---
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# unsloth_llama_fine-tuned_model : GGUF
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This model was finetuned and converted to GGUF format using [Unsloth](https://github.com/unslothai/unsloth).
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**Example usage**:
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- For text only LLMs: `llama-cli -hf vixxnyx/unsloth_llama_fine-tuned_model --jinja`
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- For multimodal models: `llama-mtmd-cli -hf vixxnyx/unsloth_llama_fine-tuned_model --jinja`
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## Available Model files:
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- `llama-3-8b-Instruct.Q8_0.gguf`
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## Ollama
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An Ollama Modelfile is included for easy deployment.
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This was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth)
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[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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"eos_token_id": 128009,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 8192,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"pad_token_id": 128255,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 500000.0,
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"rope_type": "default"
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"tie_word_embeddings": false,
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"transformers_version": "5.5.0",
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"unsloth_version": "2026.5.2",
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"use_cache": true,
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"vocab_size": 128256
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}
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