Bronya-Rand
commited on
Commit
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Parent(s):
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Initial Intel LLM Merge Upload.
Browse files- README.md +64 -0
- added_tokens.json +4 -0
- assets/Core1000AIIMG.png +0 -0
- assets/SmallBronyaLogo.png +0 -0
- config.json +25 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +28 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
README.md
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---
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license: apache-2.0
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---
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---
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license: apache-2.0
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---
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<p align="center">
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<img src="./assets/Core1000AIIMG.png"/>
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<p align="center" style="font-size: 26px"><b>Intel Core i7-1000AI</b></p>
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<p align="center" style="font-size: 14px">Model Size: 7B</p>
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</p>
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<p align="center">
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<img src="./assets/SmallBronyaLogo.png" style="width: 45%;">
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</p>
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<p align="center" style="font-size: 20px">A <b>experimental</b> (and beginner) model merge using Intel's Neural Chat 7B</p>
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> The Intel logo here is a parody of the real Intel logo with a bit of AI focus in mind. I am no way associated with [Intel](https://huggingface.co/Intel) Thought it be cute to add. Intel, Intel Core, and the Intel Core logo are registered trademarks of Intel Corporation.
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## Model Details
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Trained on: **Intel Xeon E5-2693v3 | NVIDIA RTX 2080 Ti | 128 GB DDR4 *(yes I'm poor :( )***
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The Intel Core i7-1000AI LLM is a LLM made by Bronya Rand (bronya_rand / Bronya-Rand) as a beginning learning model to merging models using [MergeKit](https://github.com/cg123/mergekit) and GGUF quantization. This model is based off Intel's [Neural Chat 7B V3.1](https://huggingface.co/Intel/neural-chat-7b-v3-1) as the base model along with three additional Mistral models.
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The Intel Core i7-1000AI architecture is based off: [**Mistral**](https://huggingface.co/mistralai/Mistral-7B-v0.1)
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The models used to create the Intel Core i7-1000AI are as follows:
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- Intel's Neural Chat 7B V3.1 ([Intel/neural-chat-7b-v3-1](https://huggingface.co/Intel/neural-chat-7b-v3-1))
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- Teknium's Airoboros Mistral 2.2 7B ([teknium/airoboros-mistral2.2-7b](https://huggingface.co/teknium/airoboros-mistral2.2-7b))
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- Maywell's Synthia 7B V0.3 RP ([maywell/Synatra-7B-v0.3-RP](https://huggingface.co/maywell/Synatra-7B-v0.3-RP))
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## Prompt
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The Intel Core i7-1000AI *should* (but unsure) support the same prompts as featured in Intel's Neural Chat, Airoboros Mistral and Synthia.
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### For Intel
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```
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### System:
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{system}
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### User:
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{usr}
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### Assistant:
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```
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### For Airoboros
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```
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USER: <prompt>
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ASSISTANT:
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```
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## Why brand it Intel Core iX and not some normal name?
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I wanted to be different + just add a bit of a thanks to Intel using something they can recognize so people know it's based off their work.
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## Benchmarks?
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I have no idea how to do them. You are welcome to make your own.
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## Ethical Considerations and Limitations
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The intended use-case for the Intel Core i7-1000AI LLM is for fictional writing/ roleplay solely for personal entertainment purposes. Any other sort of usage outside of this is out of scope of my intentions and the LLM itself.
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The Intel Core i7-1000AI LLM has been merged with models which are uncensored/unfiltered. The LLM can produce content, including but not limited to, content that may be NSFW for those under the age of eighteen, content that may be illegal in certain states/countries, offensive content, etc.
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The Intel Core i7-1000AI LLM is not designed to produce the most accurate information. It may produce incorrect data like all other AI models.
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### Disclaimer
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The license on this model does not constitute legal advice. I am not responsible for the actions of third parties (services/users/etc.) who use this model and distribute it for others. Please cosult an attorney before using this model for commercial purposes.
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added_tokens.json
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{
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"<|im_end|>": 32000,
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"<|im_start|>": 32001
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}
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assets/Core1000AIIMG.png
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assets/SmallBronyaLogo.png
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config.json
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{
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"_name_or_path": "Intel/neural-chat-7b-v3-1",
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"architectures": [
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"MistralForCausalLM"
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],
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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": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 32,
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"num_key_value_heads": 8,
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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.35.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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model-00001-of-00002.safetensors
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tokenizer.model
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