Instructions to use thekraftors/text-to-sql-beta-v1-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use thekraftors/text-to-sql-beta-v1-q8 with Transformers:

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

pipe = pipeline("text-generation", model="thekraftors/text-to-sql-beta-v1-q8")

# Load model directly
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("thekraftors/text-to-sql-beta-v1-q8", dtype="auto")

Notebooks
Google Colab
Kaggle
Local Apps

vLLM

How to use thekraftors/text-to-sql-beta-v1-q8 with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "thekraftors/text-to-sql-beta-v1-q8"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "thekraftors/text-to-sql-beta-v1-q8",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Use Docker

docker model run hf.co/thekraftors/text-to-sql-beta-v1-q8

SGLang

How to use thekraftors/text-to-sql-beta-v1-q8 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 "thekraftors/text-to-sql-beta-v1-q8" \
    --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": "thekraftors/text-to-sql-beta-v1-q8",
		"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 "thekraftors/text-to-sql-beta-v1-q8" \
        --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": "thekraftors/text-to-sql-beta-v1-q8",
		"prompt": "Once upon a time,",
		"max_tokens": 512,
		"temperature": 0.5
	}'

Docker Model Runner
How to use thekraftors/text-to-sql-beta-v1-q8 with Docker Model Runner:
```
docker model run hf.co/thekraftors/text-to-sql-beta-v1-q8
```

thekraftors commited on Jan 24, 2024

Commit

f62df0a

verified ·

1 Parent(s): fb8c86e

Update config.json

Browse files

Files changed (1) hide show

config.json +30 -28

config.json CHANGED Viewed

@@ -1,29 +1,31 @@
 {
-    "activation_function": "gelu_new",
-    "architectures": ["GPT2LMHeadModel"],
-    "attn_pdrop": 0.1,
-    "bos_token_id": 50256,
-    "embd_pdrop": 0.1,
-    "eos_token_id": 50256,
-    "initializer_range": 0.02,
-    "layer_norm_epsilon": 1e-05,
-    "model_type": "text-to-sql-beta-v1-q8",
-    "n_ctx": 1024,
-    "n_embd": 768,
-    "n_head": 12,
-    "n_layer": 12,
-    "n_positions": 1024,
-    "resid_pdrop": 0.1,
-    "summary_activation": None,
-    "summary_first_dropout": 0.1,
-    "summary_proj_to_labels": True,
-    "summary_type": "cls_index",
-    "summary_use_proj": True,
-    "task_specific_params": {
-        "text-generation": {
-            "do_sample": True,
-            "max_length": 50
-        }
-    },
-    "vocab_size": 50257
-}

 {
+  "activation_function": "gelu_new",
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "text-to-sql-beta-v1-q8",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "resid_pdrop": 0.1,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "vocab_size": 50257
+}