Instructions to use veyra-ai/Veyra2-Mango-15M-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use veyra-ai/Veyra2-Mango-15M-Base with Transformers:

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

pipe = pipeline("text-generation", model="veyra-ai/Veyra2-Mango-15M-Base")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("veyra-ai/Veyra2-Mango-15M-Base")
model = AutoModelForCausalLM.from_pretrained("veyra-ai/Veyra2-Mango-15M-Base", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use veyra-ai/Veyra2-Mango-15M-Base with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "veyra-ai/Veyra2-Mango-15M-Base"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "veyra-ai/Veyra2-Mango-15M-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/veyra-ai/Veyra2-Mango-15M-Base

SGLang

How to use veyra-ai/Veyra2-Mango-15M-Base 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 "veyra-ai/Veyra2-Mango-15M-Base" \
    --host 0.0.0.0 \
    --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "veyra-ai/Veyra2-Mango-15M-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

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 "veyra-ai/Veyra2-Mango-15M-Base" \
        --host 0.0.0.0 \
        --port 30000
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:30000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "veyra-ai/Veyra2-Mango-15M-Base",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use veyra-ai/Veyra2-Mango-15M-Base with Docker Model Runner:
```
docker model run hf.co/veyra-ai/Veyra2-Mango-15M-Base
```

Jdudeo commited on 19 days ago

Commit

d85dc63

verified ·

1 Parent(s): 1ba00a1

Fix tokenizer model input names

Browse files

Files changed (1) hide show

tokenizer_config.json +47 -8

tokenizer_config.json CHANGED Viewed

@@ -1,15 +1,54 @@
 {
-  "tokenizer_class": "PreTrainedTokenizerFast",
-  "model_max_length": 4096,
-  "bos_token": null,
-  "eos_token": "<|endoftext|>",
-  "unk_token": null,
-  "pad_token": "<|pad|>",
   "additional_special_tokens": [
     "<|im_start|>",
     "<|im_end|>"
   ],
   "clean_up_tokenization_spaces": false,
   "padding_side": "left",
-  "truncation_side": "left"
-}

 {
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<|endoftext|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "<|im_end|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "3": {
+      "content": "<|pad|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
   "additional_special_tokens": [
     "<|im_start|>",
     "<|im_end|>"
   ],
+  "bos_token": null,
   "clean_up_tokenization_spaces": false,
+  "eos_token": "<|endoftext|>",
+  "extra_special_tokens": {},
+  "model_max_length": 4096,
+  "pad_token": "<|pad|>",
   "padding_side": "left",
+  "tokenizer_class": "PreTrainedTokenizerFast",
+  "truncation_side": "left",
+  "unk_token": null,
+  "model_input_names": [
+    "input_ids",
+    "attention_mask"
+  ]
+}