Instructions to use AlexHung29629/FormoMouse123 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use AlexHung29629/FormoMouse123 with Transformers:

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

pipe = pipeline("text-generation", model="AlexHung29629/FormoMouse123")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("AlexHung29629/FormoMouse123")
model = AutoModelForCausalLM.from_pretrained("AlexHung29629/FormoMouse123")
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]:]))

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use AlexHung29629/FormoMouse123 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "AlexHung29629/FormoMouse123"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "AlexHung29629/FormoMouse123",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/AlexHung29629/FormoMouse123

SGLang

How to use AlexHung29629/FormoMouse123 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 "AlexHung29629/FormoMouse123" \
    --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": "AlexHung29629/FormoMouse123",
		"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 "AlexHung29629/FormoMouse123" \
        --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": "AlexHung29629/FormoMouse123",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use AlexHung29629/FormoMouse123 with Docker Model Runner:
```
docker model run hf.co/AlexHung29629/FormoMouse123
```

AlexHung29629 commited on Jun 9, 2025

Commit

8fe3e0e

verified ·

1 Parent(s): 55da4c7

Upload Llama4ForCausalLM

Browse files

Files changed (3) hide show

config.json +4 -4
generation_config.json +1 -1
model.safetensors +2 -2

config.json CHANGED Viewed

@@ -6,7 +6,7 @@
   "attention_chunk_size": 8192,
   "attention_dropout": 0.0,
   "attn_scale": 0.1,
-  "attn_temperature_tuning": true,
   "bos_token_id": 2,
   "cache_implementation": "hybrid",
   "eos_token_id": 1,
@@ -54,7 +54,7 @@
   "num_attention_heads": 16,
   "num_experts_per_tok": 1,
   "num_hidden_layers": 28,
-  "num_key_value_heads": 8,
   "num_local_experts": 16,
   "output_router_logits": false,
   "pad_token_id": 0,
@@ -65,8 +65,8 @@
   "router_jitter_noise": 0.0,
   "tie_word_embeddings": true,
   "torch_dtype": "bfloat16",
-  "transformers_version": "4.52.4",
   "use_cache": true,
-  "use_qk_norm": false,
   "vocab_size": 262144
 }

   "attention_chunk_size": 8192,
   "attention_dropout": 0.0,
   "attn_scale": 0.1,
+  "attn_temperature_tuning": 4,
   "bos_token_id": 2,
   "cache_implementation": "hybrid",
   "eos_token_id": 1,
   "num_attention_heads": 16,
   "num_experts_per_tok": 1,
   "num_hidden_layers": 28,
+  "num_key_value_heads": 16,
   "num_local_experts": 16,
   "output_router_logits": false,
   "pad_token_id": 0,
   "router_jitter_noise": 0.0,
   "tie_word_embeddings": true,
   "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
   "use_cache": true,
+  "use_qk_norm": true,
   "vocab_size": 262144
 }

generation_config.json CHANGED Viewed

@@ -4,5 +4,5 @@
   "cache_implementation": "hybrid",
   "eos_token_id": 1,
   "pad_token_id": 0,
-  "transformers_version": "4.52.4"
 }

   "cache_implementation": "hybrid",
   "eos_token_id": 1,
   "pad_token_id": 0,
+  "transformers_version": "4.51.3"
 }

model.safetensors CHANGED Viewed

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