Instructions to use Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator with Transformers:

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

pipe = pipeline("text-generation", model="Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator", device_map="auto")
messages = [
    {"role": "user", "content": "Who are you?"},
]
pipe(messages)

# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator")
model = AutoModelForCausalLM.from_pretrained("Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator", 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=40)
print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:]))

Inference
Notebooks
Google Colab
Kaggle
Local Apps Settings

vLLM

How to use Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator with vLLM:

Install from pip and serve model

# Install vLLM from pip:
pip install vllm
# Start the vLLM server:
vllm serve "Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator"
# Call the server using curl (OpenAI-compatible API):
curl -X POST "http://localhost:8000/v1/chat/completions" \
	-H "Content-Type: application/json" \
	--data '{
		"model": "Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Use Docker

docker model run hf.co/Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator

SGLang

How to use Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator 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 "Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator" \
    --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": "Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator",
		"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 "Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator" \
        --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": "Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator",
		"messages": [
			{
				"role": "user",
				"content": "What is the capital of France?"
			}
		]
	}'

Docker Model Runner
How to use Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator with Docker Model Runner:
```
docker model run hf.co/Omaratef3221/Qwen2-0.5B-Instruct-SQL-query-generator
```

Omaratef3221 commited on Jun 21, 2024

Commit

73b8047

verified ·

1 Parent(s): e2e47e3

omaratef3221/Qwen2-0.5B-Instruct-SQL-generator

Browse files

Files changed (11) hide show

README.md +2 -2
added_tokens.json +5 -0
config.json +21 -33
generation_config.json +11 -4
merges.txt +0 -0
model.safetensors +3 -0
special_tokens_map.json +5 -8
tokenizer.json +0 -0
tokenizer_config.json +31 -6
training_args.bin +1 -1
vocab.json +0 -0

README.md CHANGED Viewed

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: core42/jais-13b
 tags:
 - trl
 - sft
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
 # tmp_trainer
-This model is a fine-tuned version of [core42/jais-13b](https://huggingface.co/core42/jais-13b) on the None dataset.
 ## Model description

 ---
 license: apache-2.0
+base_model: Qwen/Qwen2-0.5B-Instruct
 tags:
 - trl
 - sft
 # tmp_trainer
+This model is a fine-tuned version of [Qwen/Qwen2-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2-0.5B-Instruct) on an unknown dataset.
 ## Model description

added_tokens.json ADDED Viewed

	@@ -0,0 +1,5 @@

+{
+  "<|endoftext|>": 151643,
+  "<|im_end|>": 151645,
+  "<|im_start|>": 151644
+}

config.json CHANGED Viewed

@@ -1,40 +1,28 @@
 {
-  "_name_or_path": "core42/jais-13b",
-  "activation_function": "swiglu",
   "architectures": [
-    "JAISLMHeadModel"
   ],
-  "attn_pdrop": 0.0,
-  "auto_map": {
-    "AutoConfig": "core42/jais-13b--configuration_jais.JAISConfig",
-    "AutoModel": "core42/jais-13b--modeling_jais.JAISModel",
-    "AutoModelForCausalLM": "core42/jais-13b--modeling_jais.JAISLMHeadModel",
-    "AutoModelForQuestionAnswering": "core42/jais-13b--modeling_jais.JAISForQuestionAnswering",
-    "AutoModelForSequenceClassification": "core42/jais-13b--modeling_jais.JAISForSequenceClassification",
-    "AutoModelForTokenClassification": "core42/jais-13b--modeling_jais.JAISForTokenClassification"
-  },
-  "bos_token_id": 0,
-  "embd_pdrop": 0.0,
-  "embeddings_scale": 14.6,
-  "eos_token_id": 0,
   "initializer_range": 0.02,
-  "layer_norm_epsilon": 1e-05,
-  "model_type": "jais",
-  "n_embd": 5120,
-  "n_head": 40,
-  "n_inner": 13653,
-  "n_layer": 40,
-  "n_positions": 2048,
-  "pad_token_id": 0,
-  "position_embedding_type": "alibi",
-  "reorder_and_upcast_attn": false,
-  "resid_pdrop": 0.0,
-  "scale_attn_by_inverse_layer_idx": false,
-  "scale_attn_weights": true,
-  "scale_qk_dot_by_d": true,
-  "torch_dtype": "bfloat16",
   "transformers_version": "4.39.0",
   "use_cache": true,
-  "vocab_size": 84992,
-  "width_scale": 0.11100000000000002
 }

 {
+  "_name_or_path": "Qwen/Qwen2-0.5B-Instruct",
   "architectures": [
+    "Qwen2ForCausalLM"
   ],
+  "attention_dropout": 0.0,
+  "bos_token_id": 151643,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 896,
   "initializer_range": 0.02,
+  "intermediate_size": 4864,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 24,
+  "model_type": "qwen2",
+  "num_attention_heads": 14,
+  "num_hidden_layers": 24,
+  "num_key_value_heads": 2,
+  "rms_norm_eps": 1e-06,
+  "rope_theta": 1000000.0,
+  "sliding_window": 32768,
+  "tie_word_embeddings": true,
+  "torch_dtype": "float32",
   "transformers_version": "4.39.0",
   "use_cache": true,
+  "use_sliding_window": false,
+  "vocab_size": 151936
 }

generation_config.json CHANGED Viewed

@@ -1,7 +1,14 @@
 {
-  "_from_model_config": true,
-  "bos_token_id": 0,
-  "eos_token_id": 0,
-  "pad_token_id": 0,
   "transformers_version": "4.39.0"
 }

 {
+  "bos_token_id": 151643,
+  "do_sample": true,
+  "eos_token_id": [
+    151645,
+    151643
+  ],
+  "pad_token_id": 151643,
+  "repetition_penalty": 1.1,
+  "temperature": 0.7,
+  "top_k": 20,
+  "top_p": 0.8,
   "transformers_version": "4.39.0"
 }

merges.txt ADDED Viewed

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model.safetensors ADDED Viewed

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special_tokens_map.json CHANGED Viewed

@@ -1,6 +1,10 @@
 {
   "eos_token": {
-    "content": "<|endoftext|>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
@@ -12,12 +16,5 @@
     "normalized": false,
     "rstrip": false,
     "single_word": false
-  },
-  "unk_token": {
-    "content": "<|endoftext|>",
-    "lstrip": false,
-    "normalized": false,
-    "rstrip": false,
-    "single_word": false
   }
 }

 {
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
   "eos_token": {
+    "content": "<|im_end|>",
     "lstrip": false,
     "normalized": false,
     "rstrip": false,
     "normalized": false,
     "rstrip": false,
     "single_word": false
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 }

tokenizer.json CHANGED Viewed

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

tokenizer_config.json CHANGED Viewed

@@ -1,18 +1,43 @@
 {
   "added_tokens_decoder": {
-    "0": {
       "content": "<|endoftext|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
     }
   },
-  "clean_up_tokenization_spaces": true,
-  "eos_token": "<|endoftext|>",
-  "model_max_length": 2048,
   "pad_token": "<|endoftext|>",
-  "tokenizer_class": "PreTrainedTokenizerFast",
-  "unk_token": "<|endoftext|>"
 }

 {
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   "added_tokens_decoder": {
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       "content": "<|endoftext|>",
       "lstrip": false,
       "normalized": false,
       "rstrip": false,
       "single_word": false,
       "special": true
+    },
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+      "content": "<|im_start|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "151645": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
     }
   },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{% for message in messages %}{% if loop.first and messages[0]['role'] != 'system' %}{{ '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n' }}{% endif %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 32768,
   "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
 }

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vocab.json ADDED Viewed

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