Instructions to use Rocketknight1/tiny-random-falcon-7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Rocketknight1/tiny-random-falcon-7b with Transformers:

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

pipe = pipeline("text-generation", model="Rocketknight1/tiny-random-falcon-7b")

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Rocketknight1/tiny-random-falcon-7b")
model = AutoModelForCausalLM.from_pretrained("Rocketknight1/tiny-random-falcon-7b", device_map="auto")

Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Rocketknight1/tiny-random-falcon-7b with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Rocketknight1/tiny-random-falcon-7b"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Rocketknight1/tiny-random-falcon-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/Rocketknight1/tiny-random-falcon-7b

SGLang

How to use Rocketknight1/tiny-random-falcon-7b 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 "Rocketknight1/tiny-random-falcon-7b" \
    --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": "Rocketknight1/tiny-random-falcon-7b",
		"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 "Rocketknight1/tiny-random-falcon-7b" \
        --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": "Rocketknight1/tiny-random-falcon-7b",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use Rocketknight1/tiny-random-falcon-7b with Docker Model Runner:
```
docker model run hf.co/Rocketknight1/tiny-random-falcon-7b
```

Rocketknight1 HF Staff commited on Jul 7, 2023

Commit

b11cf41

1 Parent(s): f9c0179

Upload FalconForCausalLM

Browse files

Files changed (2) hide show

config.json +6 -6
pytorch_model.bin +2 -2

config.json CHANGED Viewed

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "./falcon-7b",
   "alibi": false,
   "apply_residual_connection_post_layernorm": false,
   "architectures": [
@@ -10,17 +10,17 @@
   "bos_token_id": 11,
   "eos_token_id": 11,
   "hidden_dropout": 0.0,
-  "hidden_size": 568,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "falcon",
   "multi_query": true,
-  "n_head": 71,
-  "num_kv_heads": 71,
-  "n_layer": 2,
   "new_decoder_architecture": false,
   "parallel_attn": true,
-  "torch_dtype": "float32",
   "transformers_version": "4.31.0.dev0",
   "use_cache": true,
   "vocab_size": 65024

 {
+  "_name_or_path": "falcon_convert/repos/falcon-7b",
   "alibi": false,
   "apply_residual_connection_post_layernorm": false,
   "architectures": [
   "bos_token_id": 11,
   "eos_token_id": 11,
   "hidden_dropout": 0.0,
+  "hidden_size": 1136,
   "initializer_range": 0.02,
   "layer_norm_epsilon": 1e-05,
   "model_type": "falcon",
   "multi_query": true,
   "new_decoder_architecture": false,
+  "num_attention_heads": 71,
+  "num_hidden_layers": 2,
+  "num_kv_heads": 71,
   "parallel_attn": true,
+  "torch_dtype": "bfloat16",
   "transformers_version": "4.31.0.dev0",
   "use_cache": true,
   "vocab_size": 65024

pytorch_model.bin CHANGED Viewed

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