Instructions to use llmware/bling-qwen-mini-tool with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use llmware/bling-qwen-mini-tool with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("llmware/bling-qwen-mini-tool", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use llmware/bling-qwen-mini-tool 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 llmware/bling-qwen-mini-tool # Run inference directly in the terminal: llama cli -hf llmware/bling-qwen-mini-tool
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf llmware/bling-qwen-mini-tool # Run inference directly in the terminal: llama cli -hf llmware/bling-qwen-mini-tool
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 llmware/bling-qwen-mini-tool # Run inference directly in the terminal: ./llama-cli -hf llmware/bling-qwen-mini-tool
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 llmware/bling-qwen-mini-tool # Run inference directly in the terminal: ./build/bin/llama-cli -hf llmware/bling-qwen-mini-tool
Use Docker
docker model run hf.co/llmware/bling-qwen-mini-tool
- LM Studio
- Jan
- Ollama
How to use llmware/bling-qwen-mini-tool with Ollama:
ollama run hf.co/llmware/bling-qwen-mini-tool
- Unsloth Desktop
- Docker Model Runner
How to use llmware/bling-qwen-mini-tool with Docker Model Runner:
docker model run hf.co/llmware/bling-qwen-mini-tool
- Lemonade
How to use llmware/bling-qwen-mini-tool with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull llmware/bling-qwen-mini-tool
Run and chat with the model
lemonade run user.bling-qwen-mini-tool-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Update README.md
Browse files
README.md
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Evaluated against the benchmark test: RAG-Instruct-Benchmark-Tester
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1 Test Run with sample=False & temperature=0.0 (deterministic output) - 1 point for correct answer, 0.5 point for partial correct or blank / NF, 0.0 points for incorrect, and -1 points for hallucinations.
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--Accuracy Score: **93.5** correct out of 100
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--Not Found Classification: 75.0%
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--Boolean: 87.5%
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--Math/Logic: 70.0%
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--Complex Questions (1-5): 3 (Average)
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--Summarization Quality (1-5): 3 (Average)
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--Hallucinations: No hallucinations observed in test runs.
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Evaluated against the benchmark test: RAG-Instruct-Benchmark-Tester
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1 Test Run with sample=False & temperature=0.0 (deterministic output) - 1 point for correct answer, 0.5 point for partial correct or blank / NF, 0.0 points for incorrect, and -1 points for hallucinations.
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--Accuracy Score: **93.5** correct out of 100
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--Not Found Classification: 75.0%
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--Boolean: 87.5%
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--Math/Logic: 70.0%
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--Complex Questions (1-5): 3 (Average)
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--Summarization Quality (1-5): 3 (Average)
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--Hallucinations: No hallucinations observed in test runs.
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