Instructions to use RichardErkhov/semcoder_-_semcoder_s-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/semcoder_-_semcoder_s-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/semcoder_-_semcoder_s-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/semcoder_-_semcoder_s-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/semcoder_-_semcoder_s-gguf:Q4_K_M # Run inference directly in the terminal: llama cli -hf RichardErkhov/semcoder_-_semcoder_s-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/semcoder_-_semcoder_s-gguf:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf RichardErkhov/semcoder_-_semcoder_s-gguf:Q4_K_M
Use Docker
docker model run hf.co/RichardErkhov/semcoder_-_semcoder_s-gguf:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use RichardErkhov/semcoder_-_semcoder_s-gguf with Ollama:
ollama run hf.co/RichardErkhov/semcoder_-_semcoder_s-gguf:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use RichardErkhov/semcoder_-_semcoder_s-gguf with Docker Model Runner:
docker model run hf.co/RichardErkhov/semcoder_-_semcoder_s-gguf:Q4_K_M
- Lemonade
How to use RichardErkhov/semcoder_-_semcoder_s-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull RichardErkhov/semcoder_-_semcoder_s-gguf:Q4_K_M
Run and chat with the model
lemonade run user.semcoder_-_semcoder_s-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.
semcoder_s - GGUF
- Model creator: https://huggingface.co/semcoder/
- Original model: https://huggingface.co/semcoder/semcoder_s/
| Name | Quant method | Size |
|---|---|---|
| semcoder_s.Q2_K.gguf | Q2_K | 2.36GB |
| semcoder_s.IQ3_XS.gguf | IQ3_XS | 2.61GB |
| semcoder_s.IQ3_S.gguf | IQ3_S | 2.75GB |
| semcoder_s.Q3_K_S.gguf | Q3_K_S | 2.75GB |
| semcoder_s.IQ3_M.gguf | IQ3_M | 2.9GB |
| semcoder_s.Q3_K.gguf | Q3_K | 3.07GB |
| semcoder_s.Q3_K_M.gguf | Q3_K_M | 3.07GB |
| semcoder_s.Q3_K_L.gguf | Q3_K_L | 3.35GB |
| semcoder_s.IQ4_XS.gguf | IQ4_XS | 3.4GB |
| semcoder_s.Q4_0.gguf | Q4_0 | 3.56GB |
| semcoder_s.IQ4_NL.gguf | IQ4_NL | 3.59GB |
| semcoder_s.Q4_K_S.gguf | Q4_K_S | 3.59GB |
| semcoder_s.Q4_K.gguf | Q4_K | 3.8GB |
| semcoder_s.Q4_K_M.gguf | Q4_K_M | 3.8GB |
| semcoder_s.Q4_1.gguf | Q4_1 | 3.95GB |
| semcoder_s.Q5_0.gguf | Q5_0 | 4.33GB |
| semcoder_s.Q5_K_S.gguf | Q5_K_S | 4.33GB |
| semcoder_s.Q5_K.gguf | Q5_K | 4.46GB |
| semcoder_s.Q5_K_M.gguf | Q5_K_M | 4.46GB |
| semcoder_s.Q5_1.gguf | Q5_1 | 4.72GB |
| semcoder_s.Q6_K.gguf | Q6_K | 5.15GB |
| semcoder_s.Q8_0.gguf | Q8_0 | 6.67GB |
Original model description:
license: mit
This checkpoint is outdated. Please refer to our latest checkpoint: semcoder/semcoder_s_1030
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