Instructions to use yasserrmd/deepseek-esg-assistant with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use yasserrmd/deepseek-esg-assistant with Transformers:

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("yasserrmd/deepseek-esg-assistant", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use yasserrmd/deepseek-esg-assistant 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 yasserrmd/deepseek-esg-assistant:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf yasserrmd/deepseek-esg-assistant:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf yasserrmd/deepseek-esg-assistant:Q4_K_M
# Run inference directly in the terminal:
llama cli -hf yasserrmd/deepseek-esg-assistant:Q4_K_M

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 yasserrmd/deepseek-esg-assistant:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf yasserrmd/deepseek-esg-assistant:Q4_K_M

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 yasserrmd/deepseek-esg-assistant:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf yasserrmd/deepseek-esg-assistant:Q4_K_M

Use Docker

docker model run hf.co/yasserrmd/deepseek-esg-assistant:Q4_K_M

LM Studio
Jan
Ollama
How to use yasserrmd/deepseek-esg-assistant with Ollama:
```
ollama run hf.co/yasserrmd/deepseek-esg-assistant:Q4_K_M
```
Unsloth Desktop
Docker Model Runner
How to use yasserrmd/deepseek-esg-assistant with Docker Model Runner:
```
docker model run hf.co/yasserrmd/deepseek-esg-assistant:Q4_K_M
```

Lemonade

How to use yasserrmd/deepseek-esg-assistant with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull yasserrmd/deepseek-esg-assistant:Q4_K_M

Run and chat with the model

lemonade run user.deepseek-esg-assistant-Q4_K_M

List all available models

lemonade list

Atomic Chat

yasserrmd commited on Feb 6, 2025

Commit

c34ff36

verified ·

1 Parent(s): 5db264d

Update README.md

Browse files

Files changed (1) hide show

README.md +3 -1

README.md CHANGED Viewed

@@ -10,6 +10,8 @@ tags:
 license: apache-2.0
 language:
 - en
 ---
 # Uploaded  model
@@ -20,4 +22,4 @@ language:
 This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
-[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

 license: apache-2.0
 language:
 - en
+datasets:
+- yasserrmd/esg-assistant
 ---
 # Uploaded  model
 This qwen2 model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
+[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)