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Browse files- README.md +22 -3
- generation_config.json +5 -2
- tokenizer.json +64 -4
- tokenizer_config.json +1 -1
README.md
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@@ -185,6 +185,25 @@ extra_gated_fields:
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By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy: checkbox
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extra_gated_description: The information you provide will be collected, stored, processed and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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extra_gated_button_content: Submit
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---
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## Model Details
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"text-generation",
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model=model_id,
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model_kwargs={"torch_dtype": torch.bfloat16},
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device="
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)
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messages = [
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)
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terminators = [
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tokenizer.eos_token_id,
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tokenizer.convert_tokens_to_ids("<|eot_id|>")
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]
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outputs = pipeline(
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By clicking Submit below I accept the terms of the license and acknowledge that the information I provide will be collected stored processed and shared in accordance with the Meta Privacy Policy: checkbox
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extra_gated_description: The information you provide will be collected, stored, processed and shared in accordance with the [Meta Privacy Policy](https://www.facebook.com/privacy/policy/).
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extra_gated_button_content: Submit
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+
widget:
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- example_title: Winter holidays
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messages:
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- role: system
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content: You are a helpful and honest assistant. Please, respond concisely and truthfully.
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- role: user
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content: Can you recommend a good destination for Winter holidays?
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- example_title: Programming assistant
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messages:
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- role: system
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content: You are a helpful and honest code and programming assistant. Please, respond concisely and truthfully.
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- role: user
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content: Write a function that computes the nth fibonacci number.
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inference:
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parameters:
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max_new_tokens: 300
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stop:
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- <|end_of_text|>
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- <|eot_id|>
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---
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## Model Details
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"text-generation",
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model=model_id,
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model_kwargs={"torch_dtype": torch.bfloat16},
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device="auto",
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)
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messages = [
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)
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terminators = [
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pipeline.tokenizer.eos_token_id,
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pipeline.tokenizer.convert_tokens_to_ids("<|eot_id|>")
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]
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outputs = pipeline(
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 128000,
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"eos_token_id": 128001,
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"transformers_version": "4.40.0.dev0"
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}
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{
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"bos_token_id": 128000,
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"eos_token_id": [128001, 128009],
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"do_sample": true,
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"temperature": 0.6,
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"max_length": 4096,
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"top_p": 0.9,
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"transformers_version": "4.40.0.dev0"
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}
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tokenizer.json
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]
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},
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"post_processor": {
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"type": "
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"
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-
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-
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},
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"decoder": {
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"type": "ByteLevel",
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"end_of_word_suffix": null,
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"fuse_unk": false,
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"byte_fallback": false,
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"vocab": {
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"!": 0,
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"\"": 1,
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]
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},
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"post_processor": {
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"type": "Sequence",
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"processors": [
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{
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"type": "ByteLevel",
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"add_prefix_space": true,
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"trim_offsets": false,
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"use_regex": true
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},
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{
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"type": "TemplateProcessing",
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"single": [
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{
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"SpecialToken": {
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"id": "<|begin_of_text|>",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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}
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],
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"pair": [
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{
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"SpecialToken": {
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"id": "<|begin_of_text|>",
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"type_id": 0
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}
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},
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{
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"Sequence": {
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"id": "A",
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"type_id": 0
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}
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},
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{
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"SpecialToken": {
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"id": "<|begin_of_text|>",
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"type_id": 1
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}
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},
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{
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"Sequence": {
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"id": "B",
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"type_id": 1
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}
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}
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],
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"special_tokens": {
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"<|begin_of_text|>": {
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"id": "<|begin_of_text|>",
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"ids": [
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128000
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],
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"tokens": [
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"<|begin_of_text|>"
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]
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}
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}
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}
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]
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},
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"decoder": {
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"type": "ByteLevel",
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"end_of_word_suffix": null,
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"fuse_unk": false,
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"byte_fallback": false,
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"ignore_merges": true,
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"vocab": {
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"!": 0,
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"\"": 1,
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tokenizer_config.json
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}
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},
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"bos_token": "<|begin_of_text|>",
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"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|end_of_text|>",
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"model_input_names": [
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}
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},
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"bos_token": "<|begin_of_text|>",
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"chat_template": "{% set loop_messages = messages %}{% for message in loop_messages %}{% set content = '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] | trim + '<|eot_id|>' %}{% if loop.index0 == 0 %}{% set content = bos_token + content %}{% endif %}{{ content }}{% endfor %}{% if add_generation_prompt %}{{ '<|start_header_id|>assistant<|end_header_id|>\n\n' }}{% endif %}",
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"clean_up_tokenization_spaces": true,
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"eos_token": "<|end_of_text|>",
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"model_input_names": [
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