Instructions to use RikoteMaster/try2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use RikoteMaster/try2 with Transformers:

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

pipe = pipeline("text-generation", model="RikoteMaster/try2")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("RikoteMaster/try2")
model = AutoModelForCausalLM.from_pretrained("RikoteMaster/try2")
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 Settings

vLLM

How to use RikoteMaster/try2 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "RikoteMaster/try2"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "RikoteMaster/try2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/RikoteMaster/try2

SGLang

How to use RikoteMaster/try2 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 "RikoteMaster/try2" \
    --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": "RikoteMaster/try2",
		"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 "RikoteMaster/try2" \
        --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": "RikoteMaster/try2",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use RikoteMaster/try2 with Docker Model Runner:
```
docker model run hf.co/RikoteMaster/try2
```

RikoteMaster commited on Jun 6, 2025

Commit

4d71cd9

verified ·

1 Parent(s): 9e954ba

Upload tokenizer

Browse files

Files changed (3) hide show

chat_template.jinja +5 -4
special_tokens_map.json +1 -7
tokenizer_config.json +1 -1

chat_template.jinja CHANGED Viewed

@@ -9,7 +9,7 @@ A. testosterone.
 B. cortisol.
 C. progesterone.
 D. aldosterone.
-Answer: A
 The following are multiple choice questions (with answers) about knowledge and skills in advanced master-level STEM courses.
 Asp235Phe in a molecular report indicates that:
@@ -17,7 +17,7 @@ A. asparagine has been replaced by phenylalanine.
 B. phenylalanine has been replaced by asparagine.
 C. aspartic acid has been replaced by phenylalanine.
 D. phenylalanine has been replaced by aspartic acid.
-Answer: C
 The following are multiple choice questions (with answers) about knowledge and skills in advanced master-level STEM courses.
 The concept of V/f control of inverters driving induction motors results in:
@@ -25,6 +25,7 @@ A. constant torque operation
 B. speed reversal
 C. reduced magnetic loss
 D. harmonic elimination
-Answer: A
-Answer the following question in the same way:<|im_end|>{% for message in messages %}{% if message['role'] == 'system' %}{{ '<|im_start|>system\n' + message['content'] + '<|im_end|>\n' }}{% elif message['role'] == 'user' %}{{ '<|im_start|>user\n' + message['content'] + '<|im_end|>\n' }}{% elif message['role'] == 'assistant' %}{{ '<|im_start|>assistant\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}<think>Okay, just answer with A, B, C, or D.</think>

 B. cortisol.
 C. progesterone.
 D. aldosterone.
+Answer:A
 The following are multiple choice questions (with answers) about knowledge and skills in advanced master-level STEM courses.
 Asp235Phe in a molecular report indicates that:
 B. phenylalanine has been replaced by asparagine.
 C. aspartic acid has been replaced by phenylalanine.
 D. phenylalanine has been replaced by aspartic acid.
+Answer:C
 The following are multiple choice questions (with answers) about knowledge and skills in advanced master-level STEM courses.
 The concept of V/f control of inverters driving induction motors results in:
 B. speed reversal
 C. reduced magnetic loss
 D. harmonic elimination
+Answer:A
+Answer the following question in the same way:<|im_end|>
+{% for message in messages %}{% if message['role'] == 'user' %}{{ '<|im_start|>user\n' + message['content'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n<think>\nOkay, just answer with A, B, C, or D.\n</think>' }}{% endif %}

special_tokens_map.json CHANGED Viewed

@@ -21,11 +21,5 @@
     "rstrip": false,
     "single_word": false
   },
-  "pad_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
-  }
 }

     "rstrip": false,
     "single_word": false
   },
+  "pad_token": "<|im_end|>"
 }

tokenizer_config.json CHANGED Viewed

@@ -232,7 +232,7 @@
   "errors": "replace",
   "extra_special_tokens": {},
   "model_max_length": 131072,
-  "pad_token": "<|endoftext|>",
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
   "unk_token": null

   "errors": "replace",
   "extra_special_tokens": {},
   "model_max_length": 131072,
+  "pad_token": "<|im_end|>",
   "split_special_tokens": false,
   "tokenizer_class": "Qwen2Tokenizer",
   "unk_token": null