DenisTheDev
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Commit
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Parent(s):
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Upload folder using huggingface_hub
Browse files- config.json +31 -0
- mergekit_moe_config.yml +84 -0
- model-00001-of-00019.safetensors +3 -0
- model-00002-of-00019.safetensors +3 -0
- model-00003-of-00019.safetensors +3 -0
- model-00004-of-00019.safetensors +3 -0
- model-00005-of-00019.safetensors +3 -0
- model-00006-of-00019.safetensors +3 -0
- model-00007-of-00019.safetensors +3 -0
- model-00008-of-00019.safetensors +3 -0
- model-00009-of-00019.safetensors +3 -0
- model-00010-of-00019.safetensors +3 -0
- model-00011-of-00019.safetensors +3 -0
- model-00012-of-00019.safetensors +3 -0
- model-00013-of-00019.safetensors +3 -0
- model-00014-of-00019.safetensors +3 -0
- model-00015-of-00019.safetensors +3 -0
- model-00016-of-00019.safetensors +3 -0
- model-00017-of-00019.safetensors +3 -0
- model-00018-of-00019.safetensors +3 -0
- model-00019-of-00019.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +29 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +48 -0
config.json
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{
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"_name_or_path": "HuggingFaceH4/zephyr-7b-beta",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 2,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"num_local_experts": 3,
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"output_router_logits": false,
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"pad_token_id": 2,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.39.1",
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"use_cache": true,
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"vocab_size": 32000
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}
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mergekit_moe_config.yml
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base_model: HuggingFaceH4/zephyr-7b-beta
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dtype: bfloat16
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gate_mode: hidden
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experts:
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- source_model: openchat/openchat-3.5-0106
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positive_prompts:
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- "Tell me a fun fact about animals."
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- "How can I improve my communication skills?"
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- "Recommend some books on personal development."
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- "Discuss the impact of social media on society."
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- "What are some effective stress-relief techniques?"
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- "Provide travel tips for first-time visitors to Japan."
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- "Explain the significance of mindfulness in daily life."
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- "Give me advice on managing stress."
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- "What's the latest news on technology advancements?"
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- "Recommend some books for leisure reading."
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- "How can I make new friends in a new city?"
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- "What are some effective time management strategies?"
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negative_prompts:
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- "Solve this calculus problem for me."
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- "Write a Python script to parse JSON data."
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- "Explain the concept of recursion in programming."
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- "Calculate the orbit trajectory of a satellite."
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- "Debug this piece of Java code."
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- "Describe the QuickSort algorithm."
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- "Explain quantum entanglement to a beginner."
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- "Generate a Python script to scrape web data."
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- "Calculate the trajectory of a projectile given initial speed and angle."
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- "Debug this C++ code for a binary search algorithm."
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- "What is the integral of 3x^2 from 0 to 5?"
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- source_model: cognitivecomputations/dolphin-2.6-mistral-7b-dpo-laser
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positive_prompts:
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- "Explain how inheritance works in object-oriented programming."
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- "Provide an example of a RESTful API implementation in Python."
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- "Debug a JavaScript function that's not returning expected results."
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- "Write a function in C++ to reverse a string."
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- "Explain the difference between SQL and NoSQL databases."
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- "Demonstrate how to use hooks in React."
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- "What are the best practices for error handling in Node.js?"
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- "How do I implement a REST API in Django?"
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- "Explain the concept of inheritance in object-oriented programming."
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- "What are some best practices for error handling in software development?"
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- "Provide a code example of a binary search in Java."
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- "How can I optimize this SQL query for better performance?"
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negative_prompts:
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- "Who was the first person to climb Mount Everest?"
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- "Explain the theory of relativity."
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- "Give me the history of the Roman Empire."
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- "What are the health benefits of meditation?"
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- "Suggest a workout plan for beginners."
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- "How does the stock market work?"
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- "What are the best tourist attractions in Rome?"
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- "Explain the significance of the Mona Lisa in art history."
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- "How do I prepare a vegan lasagna?"
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- "Discuss the impact of climate change on polar bear populations."
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- "What are the rules of chess?"
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- source_model: chihoonlee10/T3Q-Mistral-Orca-Math-DPO
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positive_prompts:
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- "Explain the principle behind the Pythagorean theorem."
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- "How do you calculate compound interest?"
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- "Derive the formula for the area of a circle."
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- "What is the binomial theorem?"
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- "Solve the linear algebra problem for finding eigenvalues."
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- "Explain the significance of prime numbers in cryptography."
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- "How do differential equations apply to real-world problems?"
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- "Derive Euler's formula from the Taylor series."
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- "What is the proof of the Pythagorean theorem?"
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- "Explain the concept of vector spaces in linear algebra."
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- "Calculate the area under the curve of y = x^2 from 1 to 3."
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- "How do you solve a system of linear equations using matrix methods?"
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negative_prompts:
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- "What are the latest trends in web development?"
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- "How to prepare a healthy meal plan?"
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- "Provide tips for public speaking."
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- "Discuss the evolution of classical music."
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- "What are the basics of digital marketing?"
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- "Explain the process of photosynthesis."
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- "Give me a summary of 'War and Peace'."
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- "What are some effective leadership qualities?"
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- "How do you brew the perfect cup of coffee?"
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- "Discuss the evolution of European architecture from the Middle Ages to the present."
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- "What are the health benefits of regular physical exercise?"
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model-00001-of-00019.safetensors
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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+
"</s>"
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],
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"bos_token": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<s>",
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"unk_token": {
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"content": "<unk>",
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
|
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}
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tokenizer.json
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tokenizer.model
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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size 493443
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tokenizer_config.json
ADDED
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{
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"add_bos_token": true,
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"add_eos_token": false,
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"added_tokens_decoder": {
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"0": {
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"content": "<unk>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"1": {
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"content": "<s>",
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"single_word": false,
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"special": true
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},
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"2": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [
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"<unk>",
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"<s>",
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"</s>"
|
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],
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"bos_token": "<s>",
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"chat_template": "{% for message in messages %}\n{% if message['role'] == 'user' %}\n{{ '<|user|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'system' %}\n{{ '<|system|>\n' + message['content'] + eos_token }}\n{% elif message['role'] == 'assistant' %}\n{{ '<|assistant|>\n' + message['content'] + eos_token }}\n{% endif %}\n{% if loop.last and add_generation_prompt %}\n{{ '<|assistant|>' }}\n{% endif %}\n{% endfor %}",
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"clean_up_tokenization_spaces": false,
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"eos_token": "</s>",
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"legacy": true,
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "<s>",
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"sp_model_kwargs": {},
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"spaces_between_special_tokens": false,
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"tokenizer_class": "LlamaTokenizer",
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"truncation_side": "left",
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"unk_token": "<unk>",
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"use_default_system_prompt": true
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}
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