Instructions to use MaxJeblick/llama2-0b-unit-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use MaxJeblick/llama2-0b-unit-test with Transformers:

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

pipe = pipeline("text-generation", model="MaxJeblick/llama2-0b-unit-test")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("MaxJeblick/llama2-0b-unit-test")
model = AutoModelForCausalLM.from_pretrained("MaxJeblick/llama2-0b-unit-test")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use MaxJeblick/llama2-0b-unit-test with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "MaxJeblick/llama2-0b-unit-test"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "MaxJeblick/llama2-0b-unit-test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/MaxJeblick/llama2-0b-unit-test

SGLang

How to use MaxJeblick/llama2-0b-unit-test 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 "MaxJeblick/llama2-0b-unit-test" \
    --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": "MaxJeblick/llama2-0b-unit-test",
		"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 "MaxJeblick/llama2-0b-unit-test" \
        --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": "MaxJeblick/llama2-0b-unit-test",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use MaxJeblick/llama2-0b-unit-test with Docker Model Runner:
```
docker model run hf.co/MaxJeblick/llama2-0b-unit-test
```

MaxJeblick commited on Feb 26, 2024

Commit

a664900

verified ·

1 Parent(s): 925de87

Upload LlamaForCausalLM

Browse files

Files changed (4) hide show

README.md +3 -0
config.json +3 -2
generation_config.json +1 -1
model.safetensors +3 -0

README.md CHANGED Viewed

@@ -1,3 +1,6 @@
 Small dummy LLama2-type Model useable for Unit/Integration tests. Suitable for CPU only machines, see [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio/blob/main/tests/integration/test_integration.py) for an example integration test.
 Model was created as follows:

+---
+{}
+---
 Small dummy LLama2-type Model useable for Unit/Integration tests. Suitable for CPU only machines, see [H2O LLM Studio](https://github.com/h2oai/h2o-llmstudio/blob/main/tests/integration/test_integration.py) for an example integration test.
 Model was created as follows:

config.json CHANGED Viewed

@@ -4,13 +4,14 @@
     "LlamaForCausalLM"
   ],
   "attention_bias": false,
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
   "hidden_size": 12,
   "initializer_range": 0.02,
   "intermediate_size": 24,
-  "max_position_embeddings": 32,
   "model_type": "llama",
   "num_attention_heads": 2,
   "num_hidden_layers": 2,
@@ -21,7 +22,7 @@
   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
-  "transformers_version": "4.34.0",
   "use_cache": true,
   "vocab_size": 32000
 }

     "LlamaForCausalLM"
   ],
   "attention_bias": false,
+  "attention_dropout": 0.0,
   "bos_token_id": 1,
   "eos_token_id": 2,
   "hidden_act": "silu",
   "hidden_size": 12,
   "initializer_range": 0.02,
   "intermediate_size": 24,
+  "max_position_embeddings": 1024,
   "model_type": "llama",
   "num_attention_heads": 2,
   "num_hidden_layers": 2,
   "rope_theta": 10000.0,
   "tie_word_embeddings": false,
   "torch_dtype": "float32",
+  "transformers_version": "4.38.1",
   "use_cache": true,
   "vocab_size": 32000
 }

generation_config.json CHANGED Viewed

@@ -2,5 +2,5 @@
   "_from_model_config": true,
   "bos_token_id": 1,
   "eos_token_id": 2,
-  "transformers_version": "4.34.0"
 }

   "_from_model_config": true,
   "bos_token_id": 1,
   "eos_token_id": 2,
+  "transformers_version": "4.38.1"
 }

model.safetensors ADDED Viewed

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

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+oid sha256:5108f9b61c4c32b2ae72fd11c85535054ea4ffef80fa0fb8a2cd7c5d0e7de717
+size 3085952