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Model: QwenCollection/Hercules-5.0-Qwen2-7B Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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library_name: transformers
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datasets:
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- Locutusque/hercules-v5.0
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---
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# Model Card: Hercules-5.0-Qwen2-7B
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## Model Description
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Locutusque/Hercules-5.0-Qwen2-7B is a fine-tuned language model derived from Qwen2-7B. It is specifically designed to excel in instruction following, function calls, and conversational interactions across various scientific and technical domains. This fine-tuning has hercules-v5.0 with enhanced abilities in:
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- Complex Instruction Following: Understanding and accurately executing multi-step instructions, even those involving specialized terminology.
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- Function Calling: Seamlessly interpreting and executing function calls, providing appropriate input and output values.
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- Domain-Specific Knowledge: Engaging in informative and educational conversations about Biology, Chemistry, Physics, Mathematics, Medicine, Computer Science, and more.
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This model was fine-tuned using my TPU-Alignment repository. https://github.com/Locutusque/TPU-Alignment
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Join my discord server: https://discord.com/invite/vrGheTUFrm
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## Intended Uses & Potential Bias
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Locutusque/Hercules-5.0-Qwen2-7B is well-suited to the following applications:
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- Specialized Chatbots: Creating knowledgeable chatbots and conversational agents in scientific and technical fields.
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- Instructional Assistants: Supporting users with educational and step-by-step guidance in various disciplines.
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- Code Generation and Execution: Facilitating code execution through function calls, aiding in software development and prototyping.
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## Limitations and Risks
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- Toxicity: The dataset contains toxic or harmful examples.
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- Hallucinations and Factual Errors: Like other language models, Locutusque/Hercules-5.0-Qwen2-7B may generate incorrect or misleading information, especially in specialized domains where it lacks sufficient expertise.
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- Potential for Misuse: The ability to engage in technical conversations and execute function calls could be misused for malicious purposes.
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## Training Procedure
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- This model was trained on 8 kaggle TPUs, using torch xla SPMD for high MXU efficiency. There was no expense on my end (meaning you can reproduce this too!)
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- A learning rate of 5e-6 with the Adam optimizer. A linear scheduler was used, with an end factor of 0.1.
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- No mixed precision was used, with the default dtype being bfloat16.
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- A total batch size of 64 was used.
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- Trained on all examples of Hercules-v5.0 for 1 epoch
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- No model parameters were frozen and no quantization was used.
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- This model was trained on OpenAI's ChatML prompt format. Because this model has function calling capabilities, the prompt format is slightly different, here's what it would look like: ```<|im_start|>system\n{message}<|im_end|>\n<|im_start|>user\n{user message}<|im_end|>\n<|im_start|>call\n{function call message}<|im_end|>\n<|im_start|>function\n{function response message}<|im_end|>\n<|im_start|>assistant\n{assistant message}</s>```
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This model was fine-tuned using my TPU-Alignment repository. https://github.com/Locutusque/TPU-Alignment
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}
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config.json
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{
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"_name_or_path": "Locutusque/Hercules-5.0-Qwen2-7B",
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"architectures": [
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"Qwen2ForCausalLM"
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],
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"attention_dropout": 0.0,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.42.3",
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"use_sliding_window": false,
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}
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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}
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|
||||
}
|
||||
}
|
||||
14
special_tokens_map.json
Normal file
14
special_tokens_map.json
Normal file
@@ -0,0 +1,14 @@
|
||||
{
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>"
|
||||
],
|
||||
"eos_token": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false
|
||||
},
|
||||
"pad_token": "<|endoftext|>"
|
||||
}
|
||||
303126
tokenizer.json
Normal file
303126
tokenizer.json
Normal file
File diff suppressed because it is too large
Load Diff
50
tokenizer_config.json
Normal file
50
tokenizer_config.json
Normal file
@@ -0,0 +1,50 @@
|
||||
{
|
||||
"add_prefix_space": false,
|
||||
"added_tokens_decoder": {
|
||||
"151643": {
|
||||
"content": "<|endoftext|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151644": {
|
||||
"content": "<|im_start|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151645": {
|
||||
"content": "<|im_end|>",
|
||||
"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": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"max_length": 512,
|
||||
"model_max_length": 32768,
|
||||
"pad_to_multiple_of": null,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"pad_token_type_id": 0,
|
||||
"padding_side": "right",
|
||||
"split_special_tokens": false,
|
||||
"stride": 0,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"truncation_side": "right",
|
||||
"truncation_strategy": "longest_first",
|
||||
"unk_token": null
|
||||
}
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user