Instructions to use josh-a/rivet-1b-pt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use josh-a/rivet-1b-pt with Transformers:

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

pipe = pipeline("text-generation", model="josh-a/rivet-1b-pt")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("josh-a/rivet-1b-pt")
model = AutoModelForCausalLM.from_pretrained("josh-a/rivet-1b-pt", device_map="auto")
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=256)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use josh-a/rivet-1b-pt with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "josh-a/rivet-1b-pt"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "josh-a/rivet-1b-pt",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/josh-a/rivet-1b-pt

SGLang

How to use josh-a/rivet-1b-pt 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 "josh-a/rivet-1b-pt" \
    --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": "josh-a/rivet-1b-pt",
		"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 "josh-a/rivet-1b-pt" \
        --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": "josh-a/rivet-1b-pt",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use josh-a/rivet-1b-pt with Docker Model Runner:
```
docker model run hf.co/josh-a/rivet-1b-pt
```

josh-a commited on Aug 3

Commit

83c8e34

verified ·

1 Parent(s): 4f11ef6

v9 pretrained base weights (Qwen3 format, 16K context)

Browse files

Files changed (6) hide show

chat_template.jinja +4 -0
config.json +34 -0
generation_config.json +6 -0
model.safetensors +3 -0
tokenizer.json +0 -0
tokenizer_config.json +21 -0

chat_template.jinja ADDED Viewed

	@@ -0,0 +1,4 @@

+{%- for message in messages %}{{ '<|im_start|>' + message['role'] + '
+' + message['content'] + '<|im_end|>
+' }}{%- endfor %}{%- if add_generation_prompt %}{{ '<|im_start|>assistant
+' }}{%- endif %}

config.json ADDED Viewed

	@@ -0,0 +1,34 @@

+{
+  "architectures": [
+    "Qwen3ForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": [
+    7,
+    2
+  ],
+  "pad_token_id": 3,
+  "head_dim": 128,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5504,
+  "max_position_embeddings": 16384,
+  "max_window_layers": 22,
+  "model_type": "qwen3",
+  "num_attention_heads": 16,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": true,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "5.8.0",
+  "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 32000
+}

generation_config.json ADDED Viewed

	@@ -0,0 +1,6 @@

+{
+  "_from_model_config": true,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "transformers_version": "5.8.0"
+}

model.safetensors ADDED Viewed

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

+version https://git-lfs.github.com/spec/v1
+oid sha256:9971e937ef6753c01caec744b1ab2c9e53897ba06850531638b091ce4ffa10e3
+size 2172872928

tokenizer.json ADDED Viewed

The diff for this file is too large to render. See raw diff

tokenizer_config.json ADDED Viewed

	@@ -0,0 +1,21 @@

+{
+  "add_prefix_space": null,
+  "backend": "tokenizers",
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "extra_special_tokens": [
+    "<think>",
+    "</think>",
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "from_slow": true,
+  "is_local": true,
+  "local_files_only": false,
+  "model_max_length": 2048,
+  "pad_token": "<pad>",
+  "tokenizer_class": "LlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}