Instructions to use raed301/deepseek-quantized-Albert-Camus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use raed301/deepseek-quantized-Albert-Camus with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="raed301/deepseek-quantized-Albert-Camus",
	filename="unsloth.Q8_0.gguf",
)

llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use raed301/deepseek-quantized-Albert-Camus with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -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-server -hf raed301/deepseek-quantized-Albert-Camus:Q8_0
# Run inference directly in the terminal:
llama-cli -hf raed301/deepseek-quantized-Albert-Camus:Q8_0

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 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/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 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

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 Studio

How to use raed301/deepseek-quantized-Albert-Camus with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for raed301/deepseek-quantized-Albert-Camus to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for raed301/deepseek-quantized-Albert-Camus to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for raed301/deepseek-quantized-Albert-Camus to start chatting

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

deepseek-quantized-Albert-Camus

File size: 897 Bytes

69f3e07

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