Instructions to use TopAI-1/Duchifat-2-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use TopAI-1/Duchifat-2-Instruct with Transformers:

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

pipe = pipeline("text-generation", model="TopAI-1/Duchifat-2-Instruct", trust_remote_code=True)

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("TopAI-1/Duchifat-2-Instruct", trust_remote_code=True, dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use TopAI-1/Duchifat-2-Instruct with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "TopAI-1/Duchifat-2-Instruct"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TopAI-1/Duchifat-2-Instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/TopAI-1/Duchifat-2-Instruct

SGLang

How to use TopAI-1/Duchifat-2-Instruct 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 "TopAI-1/Duchifat-2-Instruct" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TopAI-1/Duchifat-2-Instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "TopAI-1/Duchifat-2-Instruct" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "TopAI-1/Duchifat-2-Instruct",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use TopAI-1/Duchifat-2-Instruct with Docker Model Runner:
```
docker model run hf.co/TopAI-1/Duchifat-2-Instruct
```

Update README.md

by razielAI - opened Apr 2

base: refs/heads/main

←

from: refs/pr/1

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README.md +13 -0

README.md CHANGED Viewed

@@ -46,6 +46,19 @@ While the base model provides a massive knowledge foundation from 3.27 billion t
 ---
 ## 🎨 Model Capabilities & "The Creative Writer"
 Unlike standard small-scale models, **Duchifat-V2-Instruct** exhibits "Creative Personality." It excels at:
 * **Narrative Writing:** Crafting stories and monologues with emotional depth.

 ---
+## Benchmarks
+|  Tasks   |Version|Filter|n-shot| Metric |   |Value|   |Stderr|
+|----------|------:|------|-----:|--------|---|----:|---|-----:|
+|arc_easy  |      1|none  |     0|acc     |↑  | 0.28|±  |0.0641|
+|          |       |none  |     0|acc_norm|↑  | 0.28|±  |0.0641|
+|boolq     |      2|none  |     0|acc     |↑  | 0.22|±  |0.0592|
+|copa      |      1|none  |     0|acc     |↑  | 0.56|±  |0.0709|
+|hellaswag |      1|none  |     0|acc     |↑  | 0.32|±  |0.0666|
+|          |       |none  |     0|acc_norm|↑  | 0.34|±  |0.0677|
+|piqa      |      1|none  |     0|acc     |↑  | 0.62|±  |0.0693|
+|          |       |none  |     0|acc_norm|↑  | 0.48|±  |0.0714|
+|winogrande|      1|none  |     0|acc     |↑  | 0.52|±  |0.0714|
 ## 🎨 Model Capabilities & "The Creative Writer"
 Unlike standard small-scale models, **Duchifat-V2-Instruct** exhibits "Creative Personality." It excels at:
 * **Narrative Writing:** Crafting stories and monologues with emotional depth.