Instructions to use tsunemoto/Bucharest-0.2-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 tsunemoto/Bucharest-0.2-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 tsunemoto/Bucharest-0.2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf tsunemoto/Bucharest-0.2-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
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 tsunemoto/Bucharest-0.2-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
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 tsunemoto/Bucharest-0.2-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
Use Docker
docker model run hf.co/tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use tsunemoto/Bucharest-0.2-GGUF with Ollama:
ollama run hf.co/tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use tsunemoto/Bucharest-0.2-GGUF with Docker Model Runner:
docker model run hf.co/tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
- Lemonade
How to use tsunemoto/Bucharest-0.2-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull tsunemoto/Bucharest-0.2-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Bucharest-0.2-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Upload folder using huggingface_hub
Browse files- .gitattributes +14 -0
- README.md +35 -0
- bucharest-0.2.Q2_K.gguf +3 -0
- bucharest-0.2.Q3_K_L.gguf +3 -0
- bucharest-0.2.Q3_K_M.gguf +3 -0
- bucharest-0.2.Q3_K_S.gguf +3 -0
- bucharest-0.2.Q4_0.gguf +3 -0
- bucharest-0.2.Q4_1.gguf +3 -0
- bucharest-0.2.Q4_K_M.gguf +3 -0
- bucharest-0.2.Q4_K_S.gguf +3 -0
- bucharest-0.2.Q5_0.gguf +3 -0
- bucharest-0.2.Q5_1.gguf +3 -0
- bucharest-0.2.Q5_K_M.gguf +3 -0
- bucharest-0.2.Q5_K_S.gguf +3 -0
- bucharest-0.2.Q6_K.gguf +3 -0
- bucharest-0.2.Q8_0.gguf +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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bucharest-0.2.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
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bucharest-0.2.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
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bucharest-0.2.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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bucharest-0.2.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
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bucharest-0.2.Q4_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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title: "Bucharest-0.2 Quantized in GGUF"
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tags:
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- GGUF
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language: en
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---
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# Tsunemoto GGUF's of Bucharest-0.2
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This is a GGUF quantization of Bucharest-0.2.
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## Original Repo Link:
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[Original Repository](https://huggingface.co/Mihaiii/Bucharest-0.2)
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## Original Model Card:
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---
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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
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An instruct based fine tune of [migtissera/Tess-10.7B-v1.5b](https://huggingface.co/migtissera/Tess-10.7B-v1.5b).
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It should be used for enterprise tasks that involve reasoning and text comprehension.
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This model is trained on a private dataset + [Mihaiii/OpenHermes-2.5-1k-longest-curated](https://huggingface.co/datasets/Mihaiii/OpenHermes-2.5-1k-longest-curated), which is a subset of [HuggingFaceH4/OpenHermes-2.5-1k-longest](https://huggingface.co/datasets/HuggingFaceH4/OpenHermes-2.5-1k-longest), which is a subset of [teknium/OpenHermes-2.5](https://huggingface.co/datasets/teknium/OpenHermes-2.5).
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The high GSM8K score is **NOT** because of the MetaMath dataset.
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# Prompt Format:
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```
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SYSTEM: <ANY SYSTEM CONTEXT>
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USER:
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ASSISTANT:
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```
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