Instructions to use Hishammaghraoui/metafarm-qwen-debug-20260412 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Hishammaghraoui/metafarm-qwen-debug-20260412 with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-7B-Instruct-bnb-4bit")
model = PeftModel.from_pretrained(base_model, "Hishammaghraoui/metafarm-qwen-debug-20260412")

Transformers

How to use Hishammaghraoui/metafarm-qwen-debug-20260412 with Transformers:

# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("text-generation", model="Hishammaghraoui/metafarm-qwen-debug-20260412")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Hishammaghraoui/metafarm-qwen-debug-20260412", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Hishammaghraoui/metafarm-qwen-debug-20260412 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Hishammaghraoui/metafarm-qwen-debug-20260412"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Hishammaghraoui/metafarm-qwen-debug-20260412",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Hishammaghraoui/metafarm-qwen-debug-20260412

SGLang

How to use Hishammaghraoui/metafarm-qwen-debug-20260412 with SGLang:

Install from pip and serve model

# Install SGLang from pip:
pip install sglang
# Start the SGLang server:
python3 -m sglang.launch_server \
    --model-path "Hishammaghraoui/metafarm-qwen-debug-20260412" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Hishammaghraoui/metafarm-qwen-debug-20260412",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker images

docker run --gpus all \
    --shm-size 32g \
    -p 30000:30000 \
    -v ~/.cache/huggingface:/root/.cache/huggingface \
    --env "HF_TOKEN=<secret>" \
    --ipc=host \
    lmsysorg/sglang:latest \
    python3 -m sglang.launch_server \
        --model-path "Hishammaghraoui/metafarm-qwen-debug-20260412" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Hishammaghraoui/metafarm-qwen-debug-20260412",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Unsloth Desktop
Docker Model Runner
How to use Hishammaghraoui/metafarm-qwen-debug-20260412 with Docker Model Runner:
```
docker model run hf.co/Hishammaghraoui/metafarm-qwen-debug-20260412
```

MetaFarm GrowAI Qwen Debug 2026-04-12

LoRA adapter for unsloth/Qwen2.5-7B-Instruct-bnb-4bit tuned for MetaFarm agricultural assistant workflows.

Summary

Run: qwen_debug_20260412_165244
Type: debug
Base model: unsloth/Qwen2.5-7B-Instruct-bnb-4bit
Notes: Small smoke test run.

Training Snapshot

Train loss: 0.7866849035024643
Elapsed minutes: 1.22
Train samples: 20
Validation samples: 20
LoRA rank: 16
LoRA alpha: 32

Usage

from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel

base_model_id = "unsloth/Qwen2.5-7B-Instruct-bnb-4bit"
adapter_id = "Hishammaghraoui/metafarm-qwen-debug-20260412"

tokenizer = AutoTokenizer.from_pretrained(adapter_id)
base_model = AutoModelForCausalLM.from_pretrained(base_model_id, device_map="auto")
model = PeftModel.from_pretrained(base_model, adapter_id)

Included Files

adapter_model.safetensors
adapter_config.json
tokenizer files
chat template

Downloads last month: 6

Model tree for Hishammaghraoui/metafarm-qwen-debug-20260412

Base model

Qwen/Qwen2.5-7B

Finetuned

Qwen/Qwen2.5-7B-Instruct

Quantized

unsloth/Qwen2.5-7B-Instruct-bnb-4bit

Adapter

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