Darwin-Qwen3-4B

16
4
4.0B
license:apache-2.0
by
openfree
Other
OTHER
4B params
New
16 downloads
Early-stage
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Edge AI:
Mobile
Laptop
Server
9GB+ RAM
Mobile
Laptop
Server
Quick Summary

openfree/Darwin-Qwen3-4B This model is automatically merged using evolutionary algorithm 'Darwin A2AP' v3.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
4GB+ RAM

Code Examples

⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)
⚠️ Benchmarking Test Resultspythontransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("openfree/Darwin-Qwen3-4B")
tokenizer = AutoTokenizer.from_pretrained("openfree/Darwin-Qwen3-4B")

# 추론 예시
inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs)

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