Instructions to use Ppoyaa/IVY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ppoyaa/IVY with Transformers:

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

pipe = pipeline("image-text-to-text", model="Ppoyaa/IVY")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
pipe(text=messages)

# Load model directly
from transformers import AutoProcessor, AutoModelForImageTextToText

processor = AutoProcessor.from_pretrained("Ppoyaa/IVY")
model = AutoModelForImageTextToText.from_pretrained("Ppoyaa/IVY")
messages = [
    {
        "role": "user",
        "content": [
            {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"},
            {"type": "text", "text": "What animal is on the candy?"}
        ]
    },
]
inputs = processor.apply_chat_template(
	messages,
	add_generation_prompt=True,
	tokenize=True,
	return_dict=True,
	return_tensors="pt",
).to(model.device)

outputs = model.generate(**inputs, max_new_tokens=40)
print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use Ppoyaa/IVY with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ppoyaa/IVY"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ppoyaa/IVY",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Use Docker

docker model run hf.co/Ppoyaa/IVY

SGLang

How to use Ppoyaa/IVY 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 "Ppoyaa/IVY" \
    --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": "Ppoyaa/IVY",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

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 "Ppoyaa/IVY" \
        --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": "Ppoyaa/IVY",
		"messages": [
			{
				"role": "user",
				"content": [
					{
						"type": "text",
						"text": "Describe this image in one sentence."
					},
					{
						"type": "image_url",
						"image_url": {
							"url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg"
						}
					}
				]
			}
		]
	}'

Unsloth Studio new

How to use Ppoyaa/IVY 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 Ppoyaa/IVY 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 Ppoyaa/IVY to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for Ppoyaa/IVY to start chatting

Load model with FastModel

pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
    model_name="Ppoyaa/IVY",
    max_seq_length=2048,
)

Docker Model Runner
How to use Ppoyaa/IVY with Docker Model Runner:
```
docker model run hf.co/Ppoyaa/IVY
```

Ppoyaa commited on 25 days ago

Commit

044f025

verified ·

1 Parent(s): 7a0f1c1

Update config.json

Browse files

Files changed (1) hide show

config.json +112 -112

config.json CHANGED Viewed

@@ -1,113 +1,113 @@
-{
-    "architectures": [
-        "Qwen3_5ForConditionalGeneration"
-    ],
-    "torch_dtype": "bfloat16",
-    "eos_token_id": 248046,
-    "image_token_id": 248056,
-    "model_name": "Jackrong/Qwen3.5-4B-Claude-4.6-Opus-Reasoning-Distilled-v2",
-    "model_type": "qwen3_5",
-    "pad_token_id": 248055,
-    "text_config": {
-        "attention_bias": false,
-        "attention_dropout": 0.0,
-        "attn_output_gate": true,
-        "bos_token_id": null,
-        "torch_dtype": "bfloat16",
-        "eos_token_id": 248044,
-        "full_attention_interval": 4,
-        "head_dim": 256,
-        "hidden_act": "silu",
-        "hidden_size": 2560,
-        "initializer_range": 0.02,
-        "intermediate_size": 9216,
-        "layer_types": [
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention",
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention",
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention",
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention",
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention",
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention",
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention",
-            "linear_attention",
-            "linear_attention",
-            "linear_attention",
-            "full_attention"
-        ],
-        "linear_conv_kernel_dim": 4,
-        "linear_key_head_dim": 128,
-        "linear_num_key_heads": 16,
-        "linear_num_value_heads": 32,
-        "linear_value_head_dim": 128,
-        "mamba_ssm_dtype": "float32",
-        "max_position_embeddings": 262144,
-        "mlp_only_layers": [],
-        "model_type": "qwen3_5_text",
-        "mtp_num_hidden_layers": 1,
-        "mtp_use_dedicated_embeddings": false,
-        "num_attention_heads": 16,
-        "num_hidden_layers": 32,
-        "num_key_value_heads": 4,
-        "pad_token_id": null,
-        "partial_rotary_factor": 0.25,
-        "rms_norm_eps": 1e-06,
-        "rope_parameters": {
-            "mrope_interleaved": true,
-            "mrope_section": [
-                11,
-                11,
-                10
-            ],
-            "partial_rotary_factor": 0.25,
-            "rope_theta": 10000000,
-            "rope_type": "default"
-        },
-        "tie_word_embeddings": true,
-        "use_cache": true,
-        "vocab_size": 248320
-    },
-    "tie_word_embeddings": true,
-    "unsloth_fixed": true,
-    "unsloth_version": "2026.4.8",
-    "video_token_id": 248057,
-    "vision_config": {
-        "deepstack_visual_indexes": [],
-        "depth": 24,
-        "torch_dtype": "bfloat16",
-        "hidden_act": "gelu_pytorch_tanh",
-        "hidden_size": 1024,
-        "in_channels": 3,
-        "initializer_range": 0.02,
-        "intermediate_size": 4096,
-        "model_type": "qwen3_5",
-        "num_heads": 16,
-        "num_position_embeddings": 2304,
-        "out_hidden_size": 2560,
-        "patch_size": 16,
-        "spatial_merge_size": 2,
-        "temporal_patch_size": 2
-    },
-    "vision_end_token_id": 248054,
-    "vision_start_token_id": 248053
 }

+{
+    "architectures": [
+        "Qwen3_5ForConditionalGeneration"
+    ],
+    "torch_dtype": "bfloat16",
+    "eos_token_id": 248046,
+    "image_token_id": 248056,
+    "model_name": "IVY",
+    "model_type": "qwen3_5",
+    "pad_token_id": 248055,
+    "text_config": {
+        "attention_bias": false,
+        "attention_dropout": 0.0,
+        "attn_output_gate": true,
+        "bos_token_id": null,
+        "torch_dtype": "bfloat16",
+        "eos_token_id": 248044,
+        "full_attention_interval": 4,
+        "head_dim": 256,
+        "hidden_act": "silu",
+        "hidden_size": 2560,
+        "initializer_range": 0.02,
+        "intermediate_size": 9216,
+        "layer_types": [
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention",
+            "linear_attention",
+            "linear_attention",
+            "linear_attention",
+            "full_attention"
+        ],
+        "linear_conv_kernel_dim": 4,
+        "linear_key_head_dim": 128,
+        "linear_num_key_heads": 16,
+        "linear_num_value_heads": 32,
+        "linear_value_head_dim": 128,
+        "mamba_ssm_dtype": "float32",
+        "max_position_embeddings": 262144,
+        "mlp_only_layers": [],
+        "model_type": "qwen3_5_text",
+        "mtp_num_hidden_layers": 1,
+        "mtp_use_dedicated_embeddings": false,
+        "num_attention_heads": 16,
+        "num_hidden_layers": 32,
+        "num_key_value_heads": 4,
+        "pad_token_id": null,
+        "partial_rotary_factor": 0.25,
+        "rms_norm_eps": 1e-06,
+        "rope_parameters": {
+            "mrope_interleaved": true,
+            "mrope_section": [
+                11,
+                11,
+                10
+            ],
+            "partial_rotary_factor": 0.25,
+            "rope_theta": 10000000,
+            "rope_type": "default"
+        },
+        "tie_word_embeddings": true,
+        "use_cache": true,
+        "vocab_size": 248320
+    },
+    "tie_word_embeddings": true,
+    "unsloth_fixed": true,
+    "unsloth_version": "2026.4.8",
+    "video_token_id": 248057,
+    "vision_config": {
+        "deepstack_visual_indexes": [],
+        "depth": 24,
+        "torch_dtype": "bfloat16",
+        "hidden_act": "gelu_pytorch_tanh",
+        "hidden_size": 1024,
+        "in_channels": 3,
+        "initializer_range": 0.02,
+        "intermediate_size": 4096,
+        "model_type": "qwen3_5",
+        "num_heads": 16,
+        "num_position_embeddings": 2304,
+        "out_hidden_size": 2560,
+        "patch_size": 16,
+        "spatial_merge_size": 2,
+        "temporal_patch_size": 2
+    },
+    "vision_end_token_id": 248054,
+    "vision_start_token_id": 248053
 }