Text Generation
Transformers
phi3
Mixture of Experts
Merge
mergekit
lazymergekit
phi3_mergekit
microsoft/Phi-3-mini-4k-instruct
custom_code
How to use from
SGLangUse 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 "mccoole/Phi3Mix" \
--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": "mccoole/Phi3Mix",
"prompt": "Once upon a time,",
"max_tokens": 512,
"temperature": 0.5
}'Quick Links
Phi3Mix
Phi3Mix is a Mixture of Experts (MoE) made with the following models using Phi3_LazyMergekit:
🧩 Configuration
base_model: microsoft/Phi-3-mini-4k-instruct
gate_mode: cheap_embed
experts_per_token: 1
dtype: float16
experts:
- source_model: microsoft/Phi-3-mini-4k-instruct
positive_prompts: ["research, logic, math, science"]
- source_model: microsoft/Phi-3-mini-4k-instruct
positive_prompts: ["creative, art"]
💻 Usage
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
model = "mccoole/Phi3Mix"
tokenizer = AutoTokenizer.from_pretrained(model)
model = AutoModelForCausalLM.from_pretrained(
model,
trust_remote_code=True,
)
prompt="How many continents are there?"
input = f"<|system|>You are a helpful AI assistant.<|end|><|user|>{prompt}<|assistant|>"
tokenized_input = tokenizer.encode(input, return_tensors="pt")
outputs = model.generate(tokenized_input, max_new_tokens=128, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(tokenizer.decode(outputs[0]))
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Model tree for mccoole/Phi3Mix
Base model
microsoft/Phi-3-mini-4k-instruct
Install from pip and serve model
# Install SGLang from pip: pip install sglang# Start the SGLang server: python3 -m sglang.launch_server \ --model-path "mccoole/Phi3Mix" \ --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": "mccoole/Phi3Mix", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'