GGUF
Spanish
English
deepseek_v2
moderno-tech
nova
nova-coder
quantized
code-generation
local-ai
custom_code
conversational
Instructions to use ModernoTech/Nova-Coder 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 ModernoTech/Nova-Coder 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 ModernoTech/Nova-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf ModernoTech/Nova-Coder:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf ModernoTech/Nova-Coder:Q4_K_M # Run inference directly in the terminal: llama cli -hf ModernoTech/Nova-Coder: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 ModernoTech/Nova-Coder:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf ModernoTech/Nova-Coder:Q4_K_M
Use Docker
docker model run hf.co/ModernoTech/Nova-Coder:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use ModernoTech/Nova-Coder with Ollama:
ollama run hf.co/ModernoTech/Nova-Coder:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use ModernoTech/Nova-Coder with Docker Model Runner:
docker model run hf.co/ModernoTech/Nova-Coder:Q4_K_M
- Lemonade
How to use ModernoTech/Nova-Coder with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull ModernoTech/Nova-Coder:Q4_K_M
Run and chat with the model
lemonade run user.Nova-Coder-Q4_K_M
List all available models
lemonade list
- Atomic Chat
|
Download README.md from ModernoTech/Nova-Coder: direct link, hf CLI and curl.
- Browser
- Download file 5.01 kB
-
https://huggingface.co/ModernoTech/Nova-Coder/resolve/b541c77a00a2344c26f49bddf64d6cb8528cf0d7/README.md
- Command line
-
hf download hf://ModernoTech/Nova-Coder@b541c77a00a2344c26f49bddf64d6cb8528cf0d7/README.md
-
curl -L -o README.md https://huggingface.co/ModernoTech/Nova-Coder/resolve/b541c77a00a2344c26f49bddf64d6cb8528cf0d7/README.md
5.01 kB
| base_model: deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct | |
| inference: false | |
| license: other | |
| license_name: deepseek-license | |
| license_link: LICENSE | |
| model_creator: DeepSeek-ai | |
| model_name: DeepSeek-Coder-V2-Lite-Instruct | |
| model_type: deepseek | |
| quantized_by: Second State Inc. | |
| <!-- header start --> | |
| <!-- 200823 --> | |
| <div style="width: auto; margin-left: auto; margin-right: auto"> | |
| <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> | |
| </div> | |
| <hr style="margin-top: 1.0em; margin-bottom: 1.0em;"> | |
| <!-- header end --> | |
| # DeepSeek-Coder-V2-Lite-Instruct-GGUF | |
| ## Original Model | |
| [deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct](https://huggingface.co/deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct) | |
| ## Run with LlamaEdge | |
| - LlamaEdge version: [v0.12.3](https://github.com/LlamaEdge/LlamaEdge/releases/tag/0.12.3) and above | |
| - Prompt template | |
| - Prompt type: `deepseek-chat-2` | |
| - Prompt string | |
| ```text | |
| <|begin_of_sentence|>{system_message} | |
| User: {user_message_1} | |
| Assistant: {assistant_message_1}<|end_of_sentence|>User: {user_message_2} | |
| Assistant: | |
| ``` | |
| - Context size: `128000` | |
| - Run as LlamaEdge service | |
| ```bash | |
| wasmedge --dir .:. \ | |
| --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf \ | |
| llama-api-server.wasm \ | |
| --prompt-template deepseek-chat-2 \ | |
| --ctx-size 128000 \ | |
| --model-name DeepSeek-Coder-V2-Lite-Instruct | |
| ``` | |
| - Run as LlamaEdge command app | |
| ```bash | |
| wasmedge --dir .:. \ | |
| --nn-preload default:GGML:AUTO:DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf \ | |
| llama-chat.wasm \ | |
| --prompt-template deepseek-chat-2 \ | |
| --ctx-size 128000 | |
| ``` | |
| ## Quantized GGUF Models | |
| | Name | Quant method | Bits | Size | Use case | | |
| | ---- | ---- | ---- | ---- | ----- | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q2_K.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q2_K.gguf) | Q2_K | 2 | 6.43 GB| smallest, significant quality loss - not recommended for most purposes | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q3_K_L.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q3_K_L.gguf) | Q3_K_L | 3 | 8.46 GB| small, substantial quality loss | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q3_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q3_K_M.gguf) | Q3_K_M | 3 | 8.13 GB| very small, high quality loss | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q3_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q3_K_S.gguf) | Q3_K_S | 3 | 7.49 GB| very small, high quality loss | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q4_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q4_0.gguf) | Q4_0 | 4 | 8.91 GB| legacy; small, very high quality loss - prefer using Q3_K_M | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_M.gguf) | Q4_K_M | 4 | 10.4 GB| medium, balanced quality - recommended | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q4_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q4_K_S.gguf) | Q4_K_S | 4 | 9.53 GB| small, greater quality loss | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q5_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q5_0.gguf) | Q5_0 | 5 | 10.8 GB| legacy; medium, balanced quality - prefer using Q4_K_M | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q5_K_M.gguf) | Q5_K_M | 5 | 11.9 GB| large, very low quality loss - recommended | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q5_K_S.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q5_K_S.gguf) | Q5_K_S | 5 | 11.1 GB| large, low quality loss - recommended | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q6_K.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q6_K.gguf) | Q6_K | 6 | 14.1 GB| very large, extremely low quality loss | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-Q8_0.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-Q8_0.gguf) | Q8_0 | 8 | 16.7 GB| very large, extremely low quality loss - not recommended | | |
| | [DeepSeek-Coder-V2-Lite-Instruct-f16.gguf](https://huggingface.co/second-state/DeepSeek-Coder-V2-Lite-Instruct-GGUF/blob/main/DeepSeek-Coder-V2-Lite-Instruct-f16.gguf) | f16 | 16 | 31.4 GB| | | |
| *Quatized with llama.cpp b3212* | |