Instructions to use Tail-LS/Qwen2.5-3B-dpo-finance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- llama-cpp-python
How to use Tail-LS/Qwen2.5-3B-dpo-finance with llama-cpp-python:
# !pip install llama-cpp-python from llama_cpp import Llama llm = Llama.from_pretrained( repo_id="Tail-LS/Qwen2.5-3B-dpo-finance", filename="qwen2.5-3b-dpo.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 Tail-LS/Qwen2.5-3B-dpo-finance with llama.cpp:
Install from brew
brew install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Tail-LS/Qwen2.5-3B-dpo-finance # Run inference directly in the terminal: llama-cli -hf Tail-LS/Qwen2.5-3B-dpo-finance
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama-server -hf Tail-LS/Qwen2.5-3B-dpo-finance # Run inference directly in the terminal: llama-cli -hf Tail-LS/Qwen2.5-3B-dpo-finance
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 Tail-LS/Qwen2.5-3B-dpo-finance # Run inference directly in the terminal: ./llama-cli -hf Tail-LS/Qwen2.5-3B-dpo-finance
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 Tail-LS/Qwen2.5-3B-dpo-finance # Run inference directly in the terminal: ./build/bin/llama-cli -hf Tail-LS/Qwen2.5-3B-dpo-finance
Use Docker
docker model run hf.co/Tail-LS/Qwen2.5-3B-dpo-finance
- LM Studio
- Jan
- Ollama
How to use Tail-LS/Qwen2.5-3B-dpo-finance with Ollama:
ollama run hf.co/Tail-LS/Qwen2.5-3B-dpo-finance
- Unsloth Studio
How to use Tail-LS/Qwen2.5-3B-dpo-finance 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 Tail-LS/Qwen2.5-3B-dpo-finance 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 Tail-LS/Qwen2.5-3B-dpo-finance to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for Tail-LS/Qwen2.5-3B-dpo-finance to start chatting
- Pi
How to use Tail-LS/Qwen2.5-3B-dpo-finance with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Tail-LS/Qwen2.5-3B-dpo-finance
Configure the model in Pi
# Install Pi: npm install -g @mariozechner/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "Tail-LS/Qwen2.5-3B-dpo-finance" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Hermes Agent new
How to use Tail-LS/Qwen2.5-3B-dpo-finance with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama-server -hf Tail-LS/Qwen2.5-3B-dpo-finance
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default Tail-LS/Qwen2.5-3B-dpo-finance
Run Hermes
hermes
- Atomic Chat new
- Docker Model Runner
How to use Tail-LS/Qwen2.5-3B-dpo-finance with Docker Model Runner:
docker model run hf.co/Tail-LS/Qwen2.5-3B-dpo-finance
- Lemonade
How to use Tail-LS/Qwen2.5-3B-dpo-finance with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Tail-LS/Qwen2.5-3B-dpo-finance
Run and chat with the model
lemonade run user.Qwen2.5-3B-dpo-finance-{{QUANT_TAG}}List all available models
lemonade list
Upload folder using huggingface_hub
Browse files- config.json +1 -1
- generation_config.json +1 -1
- model.safetensors +1 -1
config.json
CHANGED
|
@@ -62,7 +62,7 @@
|
|
| 62 |
},
|
| 63 |
"sliding_window": null,
|
| 64 |
"tie_word_embeddings": true,
|
| 65 |
-
"transformers_version": "5.5.
|
| 66 |
"use_cache": true,
|
| 67 |
"use_mrope": false,
|
| 68 |
"use_sliding_window": false,
|
|
|
|
| 62 |
},
|
| 63 |
"sliding_window": null,
|
| 64 |
"tie_word_embeddings": true,
|
| 65 |
+
"transformers_version": "5.5.4",
|
| 66 |
"use_cache": true,
|
| 67 |
"use_mrope": false,
|
| 68 |
"use_sliding_window": false,
|
generation_config.json
CHANGED
|
@@ -3,5 +3,5 @@
|
|
| 3 |
"do_sample": false,
|
| 4 |
"eos_token_id": 151643,
|
| 5 |
"max_new_tokens": 2048,
|
| 6 |
-
"transformers_version": "5.5.
|
| 7 |
}
|
|
|
|
| 3 |
"do_sample": false,
|
| 4 |
"eos_token_id": 151643,
|
| 5 |
"max_new_tokens": 2048,
|
| 6 |
+
"transformers_version": "5.5.4"
|
| 7 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 6171927112
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a7200b57f2ea5adc3e0bf605762edeaa1b46618bc9a49baadd8c77f642bc95b6
|
| 3 |
size 6171927112
|