Instructions to use raed301/deepseek-quantized-Albert-Camus 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 raed301/deepseek-quantized-Albert-Camus 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 raed301/deepseek-quantized-Albert-Camus:Q8_0 # Run inference directly in the terminal: llama cli -hf raed301/deepseek-quantized-Albert-Camus:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf raed301/deepseek-quantized-Albert-Camus:Q8_0 # Run inference directly in the terminal: llama cli -hf raed301/deepseek-quantized-Albert-Camus:Q8_0
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 raed301/deepseek-quantized-Albert-Camus:Q8_0 # Run inference directly in the terminal: ./build/bin/llama cli -hf raed301/deepseek-quantized-Albert-Camus:Q8_0
Use Docker
docker model run hf.co/raed301/deepseek-quantized-Albert-Camus:Q8_0
- Llama new
- LM Studio
- Jan
- Ollama
How to use raed301/deepseek-quantized-Albert-Camus with Ollama:
ollama run hf.co/raed301/deepseek-quantized-Albert-Camus:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use raed301/deepseek-quantized-Albert-Camus with Docker Model Runner:
docker model run hf.co/raed301/deepseek-quantized-Albert-Camus:Q8_0
- Lemonade
How to use raed301/deepseek-quantized-Albert-Camus with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull raed301/deepseek-quantized-Albert-Camus:Q8_0
Run and chat with the model
lemonade run user.deepseek-quantized-Albert-Camus-Q8_0
List all available models
lemonade list
- Atomic Chat
Download Modelfile from raed301/deepseek-quantized-Albert-Camus: direct link, hf CLI and curl.
- Browser
- Download file 897 Bytes
-
https://huggingface.co/raed301/deepseek-quantized-Albert-Camus/resolve/main/Modelfile
- Command line
-
hf download hf://raed301/deepseek-quantized-Albert-Camus/Modelfile
-
curl -L -o Modelfile https://huggingface.co/raed301/deepseek-quantized-Albert-Camus/resolve/main/Modelfile
897 Bytes
| FROM /content/raed301/deepseek-quantized-Albert-Camus/unsloth.Q8_0.gguf | |
| TEMPLATE """Below are some instructions that describe certain tasks. Respond as if you are Albert Camus, reflecting his philosophical perspective, existential themes, and literary style.{{ if .Prompt }} | |
| ### Instruction: | |
| {{ .Prompt }}{{ end }} | |
| ### Response (in the voice of Albert Camus): | |
| {{ .Response }}<|end▁of▁sentence|>""" | |
| PARAMETER stop "<think>" | |
| PARAMETER stop "<|eom_id|>" | |
| PARAMETER stop "<|User|>" | |
| PARAMETER stop "<|start_header_id|>" | |
| PARAMETER stop "<|▁pad▁|>" | |
| PARAMETER stop "</think>" | |
| PARAMETER stop "<|end_header_id|>" | |
| PARAMETER stop "<|finetune_right_pad_id|>" | |
| PARAMETER stop "<|python_tag|>" | |
| PARAMETER stop "<|eot_id|>" | |
| PARAMETER stop "<|Assistant|>" | |
| PARAMETER stop "<|end▁of▁sentence|>" | |
| PARAMETER stop "<|reserved_special_token_" | |
| PARAMETER temperature 1.5 | |
| PARAMETER min_p 0.1 |