Instructions to use Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish with Transformers:

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

pipe = pipeline("text-generation", model="Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish")
model = AutoModelForCausalLM.from_pretrained("Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
inputs = tokenizer.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(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish

SGLang

How to use Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish 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 "Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish" \
    --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": "Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish",
		"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 "Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish" \
        --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": "Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish with Docker Model Runner:
```
docker model run hf.co/Ertman/Qwen2.5-0.5B-Instruct-Gensyn-Swarm-iridescent_tropical_starfish
```

Ertman commited on Jun 26, 2025

Commit

29862b4

verified ·

1 Parent(s): 025c6f7

rl-swarm: round 4315, agent iridescent_tropical_starfish

Browse files

Files changed (4) hide show

README.md +2 -0
config.json +3 -4
generation_config.json +2 -3
model.safetensors +1 -1

README.md CHANGED Viewed

@@ -9,6 +9,8 @@ tags:
 - gensyn
 - I am iridescent tropical starfish
 - trl
 licence: license
 ---

 - gensyn
 - I am iridescent tropical starfish
 - trl
+- genrl-swarm
+- I am iridescent_tropical_starfish
 licence: license
 ---

config.json CHANGED Viewed

@@ -3,6 +3,7 @@
     "Qwen2ForCausalLM"
   ],
   "attention_dropout": 0.0,
   "eos_token_id": 151645,
   "hidden_act": "silu",
   "hidden_size": 896,
@@ -14,15 +15,13 @@
   "num_attention_heads": 14,
   "num_hidden_layers": 24,
   "num_key_value_heads": 2,
-  "pad_token_id": 151654,
   "rms_norm_eps": 1e-06,
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-  "unsloth_fixed": true,
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 151936

     "Qwen2ForCausalLM"
   ],
   "attention_dropout": 0.0,
+  "bos_token_id": 151643,
   "eos_token_id": 151645,
   "hidden_act": "silu",
   "hidden_size": 896,
   "num_attention_heads": 14,
   "num_hidden_layers": 24,
   "num_key_value_heads": 2,
   "rms_norm_eps": 1e-06,
   "rope_scaling": null,
   "rope_theta": 1000000.0,
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   "tie_word_embeddings": true,
   "torch_dtype": "float32",
+  "transformers_version": "4.51.3",
   "use_cache": true,
   "use_sliding_window": false,
   "vocab_size": 151936

generation_config.json CHANGED Viewed

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-  "transformers_version": "4.52.4"
 }

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   "repetition_penalty": 1.1,
   "temperature": 0.7,
   "top_k": 20,
   "top_p": 0.8,
+  "transformers_version": "4.51.3"
 }

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