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--- |
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license: other |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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base_model: |
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- mlabonne/Meta-Llama-3-120B-Instruct |
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quantized_by: bartowski |
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pipeline_tag: text-generation |
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lm_studio: |
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param_count: 120b |
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use_case: general |
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release_date: 01-05-2024 |
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model_creator: mlabonne |
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prompt_template: Llama 3 |
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system_prompt: You are a helpful AI assistant. |
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base_model: llama |
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original_repo: mlabonne/Meta-Llama-3-120B-Instruct |
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--- |
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## 💫 Community Model> Llama 3 120B Instruct by Maxime Labonne |
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*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*. |
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**Model creator:** [mlabonne](https://huggingface.co/mlabonne)<br> |
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**Original model**: [Meta-Llama-3-120B-Instruct](https://huggingface.co/mlabonne/Meta-Llama-3-120B-Instruct)<br> |
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**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2794](https://github.com/ggerganov/llama.cpp/releases/tag/b2794)<br> |
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## Model Summary: |
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Meta-Llama-3-120B-Instruct is a meta-llama/Meta-Llama-3-70B-Instruct self-merge made with MergeKit.<br> |
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Using self-merging expands the capabilities of a model without additional training costs.<br> |
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## Prompt Template: |
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Choose the 'Llama 3' preset in your LM Studio. |
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Under the hood, the model will see a prompt that's formatted like so: |
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``` |
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<|begin_of_text|><|start_header_id|>system<|end_header_id|> |
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{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|> |
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{prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|> |
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``` |
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## Technical Details |
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View the original model page for technical details and examples. There aren't a lot of extra details besides the merge configuration. |
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## Special thanks |
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🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible. |
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🙏 Special thanks to [Kalomaze](https://github.com/kalomaze) for his dataset (linked [here](https://github.com/ggerganov/llama.cpp/discussions/5263)) that was used for calculating the imatrix for the IQ1_M and IQ2_XS quants, which makes them usable even at their tiny size! |
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## Disclaimers |
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LM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model. You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models. LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio. |
