Instructions to use mikecovlee/tinymixtral-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use mikecovlee/tinymixtral-it with Transformers:

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

pipe = pipeline("text-generation", model="mikecovlee/tinymixtral-it", trust_remote_code=True)
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("mikecovlee/tinymixtral-it", trust_remote_code=True, device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use mikecovlee/tinymixtral-it with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/mikecovlee/tinymixtral-it

SGLang

How to use mikecovlee/tinymixtral-it 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 "mikecovlee/tinymixtral-it" \
    --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": "mikecovlee/tinymixtral-it",
		"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 "mikecovlee/tinymixtral-it" \
        --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": "mikecovlee/tinymixtral-it",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use mikecovlee/tinymixtral-it with Docker Model Runner:
```
docker model run hf.co/mikecovlee/tinymixtral-it
```

tinymixtral-it / config.json

mikecovlee

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{
  "architectures": [
    "TinyMixtralForCausalLM"
  ],
  "attention_dropout": 0.0,
  "dtype": "float32",
  "eos_token_id": 2,
  "expert_intermediate_size": 2048,
  "head_dim": 64,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "max_position_embeddings": 2048,
  "model_type": "tinymixtral",
  "num_attention_heads": 16,
  "num_experts_per_tok": 2,
  "num_hidden_layers": 16,
  "num_key_value_heads": 4,
  "num_local_experts": 4,
  "pad_token_id": 2,
  "rms_norm_eps": 1e-06,
  "rope_theta": 1000000.0,
  "router_aux_loss_coef": 0.001,
  "router_jitter_noise": 0.0,
  "transformers_version": "4.57.6",
  "use_qk_norm": true,
  "vocab_size": 32000,
  "auto_map": {
    "AutoConfig": "configuration_tinymixtral.TinyMixtralConfig",
    "AutoModelForCausalLM": "modeling_tinymixtral.TinyMixtralForCausalLM"
  }
}

	{
	"architectures": [
	"TinyMixtralForCausalLM"
	],
	"attention_dropout": 0.0,
	"dtype": "float32",
	"eos_token_id": 2,
	"expert_intermediate_size": 2048,
	"head_dim": 64,
	"hidden_size": 1024,
	"initializer_range": 0.02,
	"max_position_embeddings": 2048,
	"model_type": "tinymixtral",
	"num_attention_heads": 16,
	"num_experts_per_tok": 2,
	"num_hidden_layers": 16,
	"num_key_value_heads": 4,
	"num_local_experts": 4,
	"pad_token_id": 2,
	"rms_norm_eps": 1e-06,
	"rope_theta": 1000000.0,
	"router_aux_loss_coef": 0.001,
	"router_jitter_noise": 0.0,
	"transformers_version": "4.57.6",
	"use_qk_norm": true,
	"vocab_size": 32000,
	"auto_map": {
	"AutoConfig": "configuration_tinymixtral.TinyMixtralConfig",
	"AutoModelForCausalLM": "modeling_tinymixtral.TinyMixtralForCausalLM"
	}
	}