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

Libraries

How to use runfar/MyGemmaNPC with Transformers:

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

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

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("runfar/MyGemmaNPC")
model = AutoModelForCausalLM.from_pretrained("runfar/MyGemmaNPC")
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 runfar/MyGemmaNPC with vLLM:

Install from pip and serve model

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

Use Docker

docker model run hf.co/runfar/MyGemmaNPC

SGLang

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

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

runfar commited on Nov 17, 2025

Commit

7edb613

verified ·

1 Parent(s): 042cb58

Model save

Browse files

Files changed (6) hide show

README.md +4 -4
config.json +2 -2
generation_config.json +3 -1
model.safetensors +1 -1
runs/Nov17_04-52-33_c7152112ee2b/events.out.tfevents.1763355178.c7152112ee2b.662.0 +3 -0
training_args.bin +2 -2

README.md CHANGED Viewed

@@ -4,8 +4,8 @@ library_name: transformers
 model_name: MyGemmaNPC
 tags:
 - generated_from_trainer
-- trl
 - sft
 licence: license
 ---
@@ -34,11 +34,11 @@ This model was trained with SFT.
 ### Framework versions
-- TRL: 0.21.0
-- Transformers: 4.55.2
 - Pytorch: 2.8.0+cu126
 - Datasets: 4.0.0
-- Tokenizers: 0.21.4
 ## Citations

 model_name: MyGemmaNPC
 tags:
 - generated_from_trainer
 - sft
+- trl
 licence: license
 ---
 ### Framework versions
+- TRL: 0.25.1
+- Transformers: 4.57.1
 - Pytorch: 2.8.0+cu126
 - Datasets: 4.0.0
+- Tokenizers: 0.22.1
 ## Citations

config.json CHANGED Viewed

@@ -7,6 +7,7 @@
   "attention_dropout": 0.0,
   "attn_logit_softcapping": null,
   "bos_token_id": 2,
   "eos_token_id": 1,
   "final_logit_softcapping": null,
   "head_dim": 256,
@@ -46,8 +47,7 @@
   "rope_scaling": null,
   "rope_theta": 1000000.0,
   "sliding_window": 512,
-  "torch_dtype": "bfloat16",
-  "transformers_version": "4.55.2",
   "use_bidirectional_attention": false,
   "use_cache": true,
   "vocab_size": 262144

   "attention_dropout": 0.0,
   "attn_logit_softcapping": null,
   "bos_token_id": 2,
+  "dtype": "bfloat16",
   "eos_token_id": 1,
   "final_logit_softcapping": null,
   "head_dim": 256,
   "rope_scaling": null,
   "rope_theta": 1000000.0,
   "sliding_window": 512,
+  "transformers_version": "4.57.1",
   "use_bidirectional_attention": false,
   "use_cache": true,
   "vocab_size": 262144

generation_config.json CHANGED Viewed

@@ -1,11 +1,13 @@
 {
   "cache_implementation": "hybrid",
   "do_sample": true,
   "eos_token_id": [
     1,
     106
   ],
   "top_k": 64,
   "top_p": 0.95,
-  "transformers_version": "4.55.2"
 }

 {
+  "bos_token_id": 2,
   "cache_implementation": "hybrid",
   "do_sample": true,
   "eos_token_id": [
     1,
     106
   ],
+  "pad_token_id": 0,
   "top_k": 64,
   "top_p": 0.95,
+  "transformers_version": "4.57.1"
 }

model.safetensors CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6971e0fcfb2e49f3c08881e2678bbab74b498ab85ae998d8127eb02de687e8a7
 size 536223056

 version https://git-lfs.github.com/spec/v1
+oid sha256:6b10557428c98c0639986a03e71013efb7cdb38b40983d9048aa485cef784e3c
 size 536223056

runs/Nov17_04-52-33_c7152112ee2b/events.out.tfevents.1763355178.c7152112ee2b.662.0 ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:2ffce53cf89dbd7086f6ab2a6f205ce1c9d12eb0868aab7edae1e64cc4f358be
+size 18179

training_args.bin CHANGED Viewed

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4a547a735c7fd40d7bd0269a55b8d9df651a090d67e98b197749f735ede46e81
-size 6225

 version https://git-lfs.github.com/spec/v1
+oid sha256:ef33d4548b9b56b75cab391b5e1bb34b5bdee04ccfc806333212d4685d865a4e
+size 6289