Text Generation
PEFT
Safetensors
English
lora
qlora
text-to-sql
oracle
accounts-payable
conversational
Instructions to use samrat-kar/ap-sql-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use samrat-kar/ap-sql-v1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-7B-Instruct") model = PeftModel.from_pretrained(base_model, "samrat-kar/ap-sql-v1") - Notebooks
- Google Colab
- Kaggle
Add ap-sql-v1 LoRA adapter
Browse files- .gitattributes +1 -0
- adapter_config.json +51 -0
- adapter_model.safetensors +3 -0
- chat_template.jinja +54 -0
- run_summary.json +1942 -0
- tokenizer.json +3 -0
- tokenizer_config.json +30 -0
.gitattributes
CHANGED
|
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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| 33 |
*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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| 34 |
*.zst filter=lfs diff=lfs merge=lfs -text
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| 35 |
*tfevents* filter=lfs diff=lfs merge=lfs -text
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| 36 |
+
tokenizer.json filter=lfs diff=lfs merge=lfs -text
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adapter_config.json
ADDED
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@@ -0,0 +1,51 @@
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+
{
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| 2 |
+
"alora_invocation_tokens": null,
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| 3 |
+
"alpha_pattern": {},
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| 4 |
+
"arrow_config": null,
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| 5 |
+
"auto_mapping": null,
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| 6 |
+
"base_model_name_or_path": "Qwen/Qwen2.5-Coder-7B-Instruct",
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| 7 |
+
"bias": "none",
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| 8 |
+
"corda_config": null,
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| 9 |
+
"ensure_weight_tying": false,
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| 10 |
+
"eva_config": null,
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| 11 |
+
"exclude_modules": null,
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| 12 |
+
"fan_in_fan_out": false,
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| 13 |
+
"inference_mode": true,
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| 14 |
+
"init_lora_weights": true,
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| 15 |
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"kasa_config": null,
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| 16 |
+
"layer_replication": null,
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| 17 |
+
"layers_pattern": null,
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| 18 |
+
"layers_to_transform": null,
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| 19 |
+
"loftq_config": {},
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| 20 |
+
"lora_alpha": 32,
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| 21 |
+
"lora_bias": false,
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| 22 |
+
"lora_dropout": 0.05,
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| 23 |
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"lora_ga_config": null,
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| 24 |
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"megatron_config": null,
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| 25 |
+
"megatron_core": "megatron.core",
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| 26 |
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"modules_to_save": null,
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| 27 |
+
"monteclora_config": null,
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| 28 |
+
"peft_type": "LORA",
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| 29 |
+
"peft_version": "0.21.0",
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| 30 |
+
"qalora_group_size": 16,
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| 31 |
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"r": 16,
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| 32 |
+
"rank_pattern": {},
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| 33 |
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"revision": null,
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| 34 |
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"target_modules": [
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"up_proj",
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"v_proj",
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| 37 |
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"down_proj",
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"k_proj",
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| 39 |
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"q_proj",
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"o_proj",
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"gate_proj"
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| 42 |
+
],
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| 43 |
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"target_parameters": null,
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| 44 |
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"task_type": "CAUSAL_LM",
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| 45 |
+
"trainable_token_indices": null,
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| 46 |
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"use_bdlora": null,
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| 47 |
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"use_dora": false,
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| 48 |
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"use_qalora": false,
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| 49 |
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"use_rslora": false,
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| 50 |
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"velora_config": null
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| 51 |
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}
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adapter_model.safetensors
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:46e44fbe7d7144ce7bdc80c6abb4cf9ee1cf73b6bfc53f919c82db3a625b60a3
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+
size 161533192
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chat_template.jinja
ADDED
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@@ -0,0 +1,54 @@
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{%- if tools %}
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{{- '<|im_start|>system\n' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
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{%- for tool in tools %}
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| 10 |
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{{- "\n" }}
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| 11 |
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{{- tool | tojson }}
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| 12 |
+
{%- endfor %}
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| 13 |
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{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
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+
{%- else %}
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| 15 |
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
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| 17 |
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{%- else %}
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{{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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| 23 |
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{{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
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| 24 |
+
{%- elif message.role == "assistant" %}
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| 25 |
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{{- '<|im_start|>' + message.role }}
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{%- if message.content %}
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| 27 |
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{{- '\n' + message.content }}
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| 28 |
+
{%- endif %}
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+
{%- for tool_call in message.tool_calls %}
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| 30 |
+
{%- if tool_call.function is defined %}
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| 31 |
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{%- set tool_call = tool_call.function %}
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| 32 |
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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{{- '", "arguments": ' }}
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{{- tool_call.arguments | tojson }}
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| 37 |
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{{- '}\n</tool_call>' }}
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| 38 |
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{%- endfor %}
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| 39 |
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{{- '<|im_end|>\n' }}
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| 40 |
+
{%- elif message.role == "tool" %}
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| 41 |
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
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| 42 |
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{{- '<|im_start|>user' }}
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| 43 |
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{%- endif %}
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| 44 |
+
{{- '\n<tool_response>\n' }}
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| 45 |
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{{- message.content }}
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| 46 |
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{{- '\n</tool_response>' }}
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| 47 |
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 48 |
+
{{- '<|im_end|>\n' }}
|
| 49 |
+
{%- endif %}
|
| 50 |
+
{%- endif %}
|
| 51 |
+
{%- endfor %}
|
| 52 |
+
{%- if add_generation_prompt %}
|
| 53 |
+
{{- '<|im_start|>assistant\n' }}
|
| 54 |
+
{%- endif %}
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run_summary.json
ADDED
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@@ -0,0 +1,1942 @@
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| 1907 |
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"learning_rate": 1.0828886614754341e-07,
|
| 1908 |
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"epoch": 2.9770992366412212,
|
| 1909 |
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"step": 270
|
| 1910 |
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},
|
| 1911 |
+
{
|
| 1912 |
+
"loss": 0.0012230968568474054,
|
| 1913 |
+
"grad_norm": 0.026720473542809486,
|
| 1914 |
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"learning_rate": 6.09172980904238e-08,
|
| 1915 |
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"epoch": 2.988202637057599,
|
| 1916 |
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"step": 271
|
| 1917 |
+
},
|
| 1918 |
+
{
|
| 1919 |
+
"loss": 0.000913719180971384,
|
| 1920 |
+
"grad_norm": 0.01431743148714304,
|
| 1921 |
+
"learning_rate": 2.7075882053828605e-08,
|
| 1922 |
+
"epoch": 2.9993060374739766,
|
| 1923 |
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"step": 272
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
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"loss": 0.01702476479113102,
|
| 1927 |
+
"grad_norm": 0.5101261734962463,
|
| 1928 |
+
"learning_rate": 6.769199623779532e-09,
|
| 1929 |
+
"epoch": 3.0,
|
| 1930 |
+
"step": 273
|
| 1931 |
+
},
|
| 1932 |
+
{
|
| 1933 |
+
"train_runtime": 9101.4738,
|
| 1934 |
+
"train_samples_per_second": 0.475,
|
| 1935 |
+
"train_steps_per_second": 0.03,
|
| 1936 |
+
"total_flos": 5.568150387086623e+17,
|
| 1937 |
+
"train_loss": 0.01574120909053851,
|
| 1938 |
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"epoch": 3.0,
|
| 1939 |
+
"step": 273
|
| 1940 |
+
}
|
| 1941 |
+
]
|
| 1942 |
+
}
|
tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3fd169731d2cbde95e10bf356d66d5997fd885dd8dbb6fb4684da3f23b2585d8
|
| 3 |
+
size 11421892
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,30 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"bos_token": null,
|
| 5 |
+
"clean_up_tokenization_spaces": false,
|
| 6 |
+
"eos_token": "<|im_end|>",
|
| 7 |
+
"errors": "replace",
|
| 8 |
+
"extra_special_tokens": [
|
| 9 |
+
"<|im_start|>",
|
| 10 |
+
"<|im_end|>",
|
| 11 |
+
"<|object_ref_start|>",
|
| 12 |
+
"<|object_ref_end|>",
|
| 13 |
+
"<|box_start|>",
|
| 14 |
+
"<|box_end|>",
|
| 15 |
+
"<|quad_start|>",
|
| 16 |
+
"<|quad_end|>",
|
| 17 |
+
"<|vision_start|>",
|
| 18 |
+
"<|vision_end|>",
|
| 19 |
+
"<|vision_pad|>",
|
| 20 |
+
"<|image_pad|>",
|
| 21 |
+
"<|video_pad|>"
|
| 22 |
+
],
|
| 23 |
+
"is_local": false,
|
| 24 |
+
"local_files_only": false,
|
| 25 |
+
"model_max_length": 32768,
|
| 26 |
+
"pad_token": "<|endoftext|>",
|
| 27 |
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"split_special_tokens": false,
|
| 28 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 29 |
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"unk_token": null
|
| 30 |
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}
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