Instructions to use BIaoo/lca-qwen3-ft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use BIaoo/lca-qwen3-ft with sentence-transformers:

from sentence_transformers import SentenceTransformer

model = SentenceTransformer("BIaoo/lca-qwen3-ft")

sentences = [
    "That is a happy person",
    "That is a happy dog",
    "That is a very happy person",
    "Today is a sunny day"
]
embeddings = model.encode(sentences)

similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [4, 4]

Notebooks
Google Colab
Kaggle
Local Apps Settings

llama.cpp

How to use BIaoo/lca-qwen3-ft 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 BIaoo/lca-qwen3-ft:F16
# Run inference directly in the terminal:
llama cli -hf BIaoo/lca-qwen3-ft:F16

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama serve -hf BIaoo/lca-qwen3-ft:F16
# Run inference directly in the terminal:
llama cli -hf BIaoo/lca-qwen3-ft:F16

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 BIaoo/lca-qwen3-ft:F16
# Run inference directly in the terminal:
./llama-cli -hf BIaoo/lca-qwen3-ft:F16

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 BIaoo/lca-qwen3-ft:F16
# Run inference directly in the terminal:
./build/bin/llama-cli -hf BIaoo/lca-qwen3-ft:F16

Use Docker

docker model run hf.co/BIaoo/lca-qwen3-ft:F16

LM Studio
Jan
Ollama
How to use BIaoo/lca-qwen3-ft with Ollama:
```
ollama run hf.co/BIaoo/lca-qwen3-ft:F16
```
Unsloth Desktop

How to use BIaoo/lca-qwen3-ft with Pi:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf BIaoo/lca-qwen3-ft:F16

Configure the model in Pi

# Install Pi:
npm install -g @earendil-works/pi-coding-agent
# Add to ~/.pi/agent/models.json:
{
  "providers": {
    "llama-cpp": {
      "baseUrl": "http://localhost:8080/v1",
      "api": "openai-completions",
      "apiKey": "none",
      "models": [
        {
          "id": "BIaoo/lca-qwen3-ft:F16"
        }
      ]
    }
  }
}

Run Pi

# Start Pi in your project directory:
pi

Docker Model Runner
How to use BIaoo/lca-qwen3-ft with Docker Model Runner:
```
docker model run hf.co/BIaoo/lca-qwen3-ft:F16
```

Lemonade

How to use BIaoo/lca-qwen3-ft with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull BIaoo/lca-qwen3-ft:F16

Run and chat with the model

lemonade run user.lca-qwen3-ft-F16

List all available models

lemonade list

Hermes Agent

How to use BIaoo/lca-qwen3-ft with Hermes Agent:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf BIaoo/lca-qwen3-ft:F16

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 BIaoo/lca-qwen3-ft:F16

Run Hermes

hermes

Atomic Chat

OpenClaw

How to use BIaoo/lca-qwen3-ft with OpenClaw:

Start the llama.cpp server

# Install llama.cpp:
brew install llama.cpp
# Start a local OpenAI-compatible server:
llama serve -hf BIaoo/lca-qwen3-ft:F16

Configure OpenClaw

# Install OpenClaw:
npm install -g openclaw@latest
# Register the local server and set it as the default model:
openclaw onboard --non-interactive --mode local \
  --auth-choice custom-api-key \
  --custom-base-url http://127.0.0.1:8080/v1 \
  --custom-model-id "BIaoo/lca-qwen3-ft:F16" \
  --custom-provider-id llama-cpp \
  --custom-compatibility openai \
  --custom-text-input \
  --accept-risk \
  --skip-health

Run OpenClaw

openclaw agent --local --agent main --message "Hello from Hugging Face"

BIaoo commited on Dec 15, 2025

Commit

3ee4fe0

verified ·

1 Parent(s): 53a573f

Update README.md

Browse files

Files changed (1) hide show

README.md +1 -4

README.md CHANGED Viewed

@@ -48,7 +48,7 @@ pip install -U sentence-transformers
 ```python
 from sentence_transformers import SentenceTransformer
-model = SentenceTransformer("data/output/lca-qwen3-st-finetuned")
 queries = [
     "wood residue gasification heat recovery",
     "magnesium alloy diecasting emissions",
@@ -81,9 +81,6 @@ print(scores)
 - **Gradient checkpointing:** disabled (single-GPU run)
 - **Seed:** 42
-Key hyperparameters were set through `scripts/finetune_st.py`, which leverages
-`SentenceTransformerTrainer` for data loading, logging, and checkpointing.
 ## Limitations & Notes
 - The model inherits any biases or gaps present in the proprietary LCA corpus.

 ```python
 from sentence_transformers import SentenceTransformer
+model = SentenceTransformer("BIaoo/lca-qwen3-ft")
 queries = [
     "wood residue gasification heat recovery",
     "magnesium alloy diecasting emissions",
 - **Gradient checkpointing:** disabled (single-GPU run)
 - **Seed:** 42
 ## Limitations & Notes
 - The model inherits any biases or gaps present in the proprietary LCA corpus.