Instructions to use NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT with PEFT:

from peft import PeftModel
from transformers import AutoModelForCausalLM

base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-3b-instruct-bnb-4bit")
model = PeftModel.from_pretrained(base_model, "NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT")

Transformers

How to use NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT with Transformers:

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

pipe = pipeline("text-generation", model="NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT")

# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT

SGLang

How to use NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT 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 "NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT" \
    --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": "NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT",
		"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 "NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT" \
        --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": "NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Unsloth Studio new

How to use NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT 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 NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT 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 NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT",
    max_seq_length=2048,
)

Docker Model Runner
How to use NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT with Docker Model Runner:
```
docker model run hf.co/NikhilSwami/qwen2.5-3b-instruct-R64-RIVERUSDT
```

NikhilSwami commited on Jan 8

Commit

5de2800

verified ·

1 Parent(s): 3d1cabf

Upload special_tokens_map.json with huggingface_hub

Browse files

Files changed (1) hide show

special_tokens_map.json +31 -0

special_tokens_map.json ADDED Viewed

	@@ -0,0 +1,31 @@

+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|vision_pad|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}