Instructions to use RichardErkhov/Undi95_-_LocalC-12B-e2.0-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 RichardErkhov/Undi95_-_LocalC-12B-e2.0-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 RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/Undi95_-_LocalC-12B-e2.0-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 RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M
Use Docker
docker model run hf.co/RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf with Ollama:
ollama run hf.co/RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf with Docker Model Runner:
docker model run hf.co/RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M
- Lemonade
How to use RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RichardErkhov/Undi95_-_LocalC-12B-e2.0-gguf:Q4_K_M
Run and chat with the model
lemonade run user.Undi95_-_LocalC-12B-e2.0-gguf-Q4_K_M
List all available models
lemonade list
- Atomic Chat
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Quantization made by Richard Erkhov.
LocalC-12B-e2.0 - GGUF
- Model creator: https://huggingface.co/Undi95/
- Original model: https://huggingface.co/Undi95/LocalC-12B-e2.0/
| Name | Quant method | Size |
|---|---|---|
| LocalC-12B-e2.0.Q2_K.gguf | Q2_K | 4.46GB |
| LocalC-12B-e2.0.Q3_K_S.gguf | Q3_K_S | 3.12GB |
| LocalC-12B-e2.0.Q3_K.gguf | Q3_K | 5.67GB |
| LocalC-12B-e2.0.Q3_K_M.gguf | Q3_K_M | 5.67GB |
| LocalC-12B-e2.0.Q3_K_L.gguf | Q3_K_L | 6.11GB |
| LocalC-12B-e2.0.IQ4_XS.gguf | IQ4_XS | 6.33GB |
| LocalC-12B-e2.0.Q4_0.gguf | Q4_0 | 2.86GB |
| LocalC-12B-e2.0.IQ4_NL.gguf | IQ4_NL | 6.65GB |
| LocalC-12B-e2.0.Q4_K_S.gguf | Q4_K_S | 6.63GB |
| LocalC-12B-e2.0.Q4_K.gguf | Q4_K | 6.96GB |
| LocalC-12B-e2.0.Q4_K_M.gguf | Q4_K_M | 6.96GB |
| LocalC-12B-e2.0.Q4_1.gguf | Q4_1 | 7.26GB |
| LocalC-12B-e2.0.Q5_0.gguf | Q5_0 | 7.93GB |
| LocalC-12B-e2.0.Q5_K_S.gguf | Q5_K_S | 7.93GB |
| LocalC-12B-e2.0.Q5_K.gguf | Q5_K | 8.13GB |
| LocalC-12B-e2.0.Q5_K_M.gguf | Q5_K_M | 8.13GB |
| LocalC-12B-e2.0.Q5_1.gguf | Q5_1 | 8.61GB |
| LocalC-12B-e2.0.Q6_K.gguf | Q6_K | 9.37GB |
| LocalC-12B-e2.0.Q8_0.gguf | Q8_0 | 12.13GB |
Original model description: Entry not found
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