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I want to run llama 3 70b locally that is using web search from bing/google. | 0 | As title said. How do I do that in the most simple efficient way possible. | 2024-04-24T13:44:21 | https://www.reddit.com/r/LocalLLaMA/comments/1cbyk28/i_want_to_run_llama_3_70b_locally_that_is_using/ | anonthatisopen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbyk28 | false | null | t3_1cbyk28 | /r/LocalLLaMA/comments/1cbyk28/i_want_to_run_llama_3_70b_locally_that_is_using/ | false | false | self | 0 | null |
Seeking Guidance: Training Open-Source AI for Customized Business Solutions | 1 | [removed] | 2024-04-24T13:35:26 | https://www.reddit.com/r/LocalLLaMA/comments/1cbyd30/seeking_guidance_training_opensource_ai_for/ | RestaurantThink3415 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbyd30 | false | null | t3_1cbyd30 | /r/LocalLLaMA/comments/1cbyd30/seeking_guidance_training_opensource_ai_for/ | false | false | self | 1 | null |
Is there a technique that allows AI applications to continuously improve without updating their model versions? | 4 | Currently, is there a practical and effective technique that allows AI applications to continuously improve without updating their model versions?
I think it's important that let AI application appears to be growing and learning, becoming more adept at communicating with its users and understanding more. This is a di... | 2024-04-24T13:24:27 | https://www.reddit.com/r/LocalLLaMA/comments/1cby47q/is_there_a_technique_that_allows_ai_applications/ | happyapplehorse | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cby47q | false | null | t3_1cby47q | /r/LocalLLaMA/comments/1cby47q/is_there_a_technique_that_allows_ai_applications/ | false | false | self | 4 | null |
TTS & STT options | 1 | [removed] | 2024-04-24T13:02:20 | https://www.reddit.com/r/LocalLLaMA/comments/1cbxm9c/tts_stt_options/ | netixc1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbxm9c | false | null | t3_1cbxm9c | /r/LocalLLaMA/comments/1cbxm9c/tts_stt_options/ | false | false | self | 1 | null |
Macbook, two simple questions (max model size and config) | 0 | Hi, in a few weeks I'll be getting a Macbook Pro with 18GB RAM (I can't choose the configuration, so please don't suggest I upgrade). I would like to experiment with LLMs. Two questions:
1) What is the maximum model size I can fit? I know that some RAM has to be reserved for MacOS, but I have no idea how much. I hope... | 2024-04-24T12:59:31 | https://www.reddit.com/r/LocalLLaMA/comments/1cbxjq9/macbook_two_simple_questions_max_model_size_and/ | Rick_06 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbxjq9 | false | null | t3_1cbxjq9 | /r/LocalLLaMA/comments/1cbxjq9/macbook_two_simple_questions_max_model_size_and/ | false | false | self | 0 | null |
Can we end this confusion for the beginners? | 10 | I think, this is the right time to do it, a lot of beginners will actually find it helpful.
What is the difference between finetuning a llm model using
Lora/Qlora, Unsloth, Axolotl, any others?
| 2024-04-24T12:38:08 | https://www.reddit.com/r/LocalLLaMA/comments/1cbx3k0/can_we_end_this_confusion_for_the_beginners/ | Old-Box-854 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbx3k0 | false | null | t3_1cbx3k0 | /r/LocalLLaMA/comments/1cbx3k0/can_we_end_this_confusion_for_the_beginners/ | false | false | self | 10 | null |
Comparison of base Llama 3 8B Instruct vs my new 'Dolfin' uncensored model | 1 | [removed] | 2024-04-24T12:25:31 | https://www.reddit.com/r/LocalLLaMA/comments/1cbwuga/comparison_of_base_llama_3_8b_instruct_vs_my_new/ | nero10578 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbwuga | false | null | t3_1cbwuga | /r/LocalLLaMA/comments/1cbwuga/comparison_of_base_llama_3_8b_instruct_vs_my_new/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '98cduzcN4l9EE5zrRuLk73fOVoHUw4aga7JgiwAUx6E', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/SW5GTOxPNt0egmtDhzyvOObERwq-8FwQ_oU21apVHFY.jpg?width=108&crop=smart&auto=webp&s=95df18c1ed7acc9ce14fe4c6ad4b6a86b22a583b', 'width': 108}, {'height': 116, 'url': 'h... |
Fine tuning LLM | 1 | [removed] | 2024-04-24T12:18:53 | https://www.reddit.com/r/LocalLLaMA/comments/1cbwpku/fine_tuning_llm/ | No_Carpenter7252 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbwpku | false | null | t3_1cbwpku | /r/LocalLLaMA/comments/1cbwpku/fine_tuning_llm/ | false | false | self | 1 | null |
Comparison of base Llama 3 8B Instruct vs. my more uncensored "Dolfin" model | 1 | [removed] | 2024-04-24T12:10:26 | https://www.reddit.com/r/LocalLLaMA/comments/1cbwjgs/comparison_of_base_llama_3_8b_instruct_vs_my_more/ | nero10578 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbwjgs | false | null | t3_1cbwjgs | /r/LocalLLaMA/comments/1cbwjgs/comparison_of_base_llama_3_8b_instruct_vs_my_more/ | false | false | nsfw | 1 | {'enabled': False, 'images': [{'id': '98cduzcN4l9EE5zrRuLk73fOVoHUw4aga7JgiwAUx6E', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/SW5GTOxPNt0egmtDhzyvOObERwq-8FwQ_oU21apVHFY.jpg?width=108&crop=smart&auto=webp&s=95df18c1ed7acc9ce14fe4c6ad4b6a86b22a583b', 'width': 108}, {'height': 116, 'url': 'h... |
Comparison of base Llama 3 8B Instruct vs. my more uncensored "Dolfin" model | 1 | So I posted here about my new "Dolfin" model which is fine tuned using the Dolphin dataset but without using chatML formatting. The goal is to uncensor it and follow prompts better, and I think I can show this clearly with these example prompts. I have more models in the works that are significantly better with a bette... | 2024-04-24T12:01:19 | https://www.reddit.com/r/LocalLLaMA/comments/1cbwd60/comparison_of_base_llama_3_8b_instruct_vs_my_more/ | nero10578 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbwd60 | false | null | t3_1cbwd60 | /r/LocalLLaMA/comments/1cbwd60/comparison_of_base_llama_3_8b_instruct_vs_my_more/ | false | false | nsfw | 1 | {'enabled': False, 'images': [{'id': '98cduzcN4l9EE5zrRuLk73fOVoHUw4aga7JgiwAUx6E', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/SW5GTOxPNt0egmtDhzyvOObERwq-8FwQ_oU21apVHFY.jpg?width=108&crop=smart&auto=webp&s=95df18c1ed7acc9ce14fe4c6ad4b6a86b22a583b', 'width': 108}, {'height': 116, 'url': 'h... |
Creating data analytics Q&A platform using LLM | 1 | [removed] | 2024-04-24T11:55:34 | https://www.reddit.com/r/LocalLLaMA/comments/1cbw94d/creating_data_analytics_qa_platform_using_llm/ | UpskillingDS17 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbw94d | false | null | t3_1cbw94d | /r/LocalLLaMA/comments/1cbw94d/creating_data_analytics_qa_platform_using_llm/ | false | false | self | 1 | null |
What model with which settings is ideal for creating summaries? (tried Llama3) | 6 | TLDR: What is the best model to create an uncensored summary from a role play? And what are the best settings (top_p, top_k, temperature) for Ooba?
ChatGPT4 works fairly ok, but as expected it has a problem with violence and intimacy, which breaks their policy. So I need a model that works well and is uncensored.
Wha... | 2024-04-24T11:53:23 | https://www.reddit.com/r/LocalLLaMA/comments/1cbw7o1/what_model_with_which_settings_is_ideal_for/ | houmie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbw7o1 | false | null | t3_1cbw7o1 | /r/LocalLLaMA/comments/1cbw7o1/what_model_with_which_settings_is_ideal_for/ | false | false | self | 6 | null |
Augmenting an LLM with a RAG for coding | 1 | [removed] | 2024-04-24T11:47:53 | https://www.reddit.com/r/LocalLLaMA/comments/1cbw42s/augmenting_an_llm_with_a_rag_for_coding/ | lurkn2001 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbw42s | false | null | t3_1cbw42s | /r/LocalLLaMA/comments/1cbw42s/augmenting_an_llm_with_a_rag_for_coding/ | false | false | self | 1 | null |
SpaceByte: Towards Deleting Tokenization from Large Language Modeling - Rice University 2024 - Practically the same performance as subword tokenizers without their many downsides! | 61 | Paper: [https://arxiv.org/abs/2404.14408](https://arxiv.org/abs/2404.14408)
Github: [https://github.com/kjslag/spacebyte](https://github.com/kjslag/spacebyte)
Abstract:
>Tokenization is widely used in large language models because it significantly improves performance. However, **tokenization imposes several disadva... | 2024-04-24T11:41:58 | https://www.reddit.com/r/LocalLLaMA/comments/1cbw08f/spacebyte_towards_deleting_tokenization_from/ | Singularian2501 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbw08f | false | null | t3_1cbw08f | /r/LocalLLaMA/comments/1cbw08f/spacebyte_towards_deleting_tokenization_from/ | false | false | 61 | null | |
4090 + LLama 3 on windows, recommendations re: API access, quant & params? | 1 | Hey all,
Looking for recommendations on the best way to run llama 3 on my machine (I have a 4090 + 128GB RAM, so far I've used LM studio with `FaradayDotDev/llama-3-8b-Instruct-GGUF` with the model 100% on the GPU and have been very impressed.
Just wondering what quant & params you use if you are a fellow 4090 person?
... | 2024-04-24T11:35:53 | https://www.reddit.com/r/LocalLLaMA/comments/1cbvwch/4090_llama_3_on_windows_recommendations_re_api/ | Imaginary_Belt4976 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbvwch | false | null | t3_1cbvwch | /r/LocalLLaMA/comments/1cbvwch/4090_llama_3_on_windows_recommendations_re_api/ | false | false | self | 1 | null |
Self-supervised learning: The dark matter of intelligence | 18 | 2024-04-24T11:33:49 | https://ai.meta.com/blog/self-supervised-learning-the-dark-matter-of-intelligence/ | mr_house7 | ai.meta.com | 1970-01-01T00:00:00 | 0 | {} | 1cbvv0v | false | null | t3_1cbvv0v | /r/LocalLLaMA/comments/1cbvv0v/selfsupervised_learning_the_dark_matter_of/ | false | false | 18 | {'enabled': False, 'images': [{'id': 'f1MyGgHCGm6XirUMtjZWcRS9qZ7r5NFMsJirgFt9ot4', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/yfrSV8mV8PsXu63XNxPxgL--Uo1vThe2mPx8x86aRFU.jpg?width=108&crop=smart&auto=webp&s=a4e9f5452114cca966ca8efcc339341566de8020', 'width': 108}, {'height': 121, 'url': 'h... | ||
Why need instruction column in dataset for finetuning llm | 1 | Basically the title, is input prompt and output json not enough? or is it enough?
using Mistral 7b instruct v0.2 model and finetuning dataset ill make my own.
https://preview.redd.it/4a3hpv80vewc1.png?width=1893&format=png&auto=webp&s=bf56837857244731fb6e98286a998d6ff1f2a8a8
| 2024-04-24T11:14:57 | https://www.reddit.com/r/LocalLLaMA/comments/1cbviux/why_need_instruction_column_in_dataset_for/ | Hungry-Maintenance48 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbviux | false | null | t3_1cbviux | /r/LocalLLaMA/comments/1cbviux/why_need_instruction_column_in_dataset_for/ | false | false | 1 | null | |
Apple releases CoreNet: A library for training deep neural networks | 47 | > CoreNet is a deep neural network toolkit that allows researchers and engineers to train standard and novel small and large-scale models for variety of tasks, including foundation models (e.g., CLIP and LLM), object classification, object detection, and semantic segmentation. | 2024-04-24T10:59:42 | https://github.com/apple/corenet | Balance- | github.com | 1970-01-01T00:00:00 | 0 | {} | 1cbv93o | false | null | t3_1cbv93o | /r/LocalLLaMA/comments/1cbv93o/apple_releases_corenet_a_library_for_training/ | false | false | 47 | {'enabled': False, 'images': [{'id': 'uq130lvw-kDnlRsU1U2c2Tu6KnY9RcToGHku_qAVyYo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/S3wMkea2acR0OAHbNpJnKlNkIWmrDMuys3ufB0B9rPk.jpg?width=108&crop=smart&auto=webp&s=220baeb1d5fb971cd0b38ebdb2062fb5cd595196', 'width': 108}, {'height': 108, 'url': 'h... | |
Run LLMs locally on android phones | 1 | [removed] | 2024-04-24T10:58:15 | https://llm.mlc.ai/docs/deploy/android.html | AssabTigle | llm.mlc.ai | 1970-01-01T00:00:00 | 0 | {} | 1cbv89u | false | null | t3_1cbv89u | /r/LocalLLaMA/comments/1cbv89u/run_llms_locally_on_android_phones/ | false | false | default | 1 | null |
Llama3 Project | 4 | Hi everyone,
I just downloaded llama3 via ollama. I’m very new to LLMs in general. I’m a hands on learner so I want to try some projects in order to learn.
I’m in Saas sales, so I though a zoom transcription would be useful. However, it does a pretty poor job. The summary is not useful.
Anyone have any tips to mak... | 2024-04-24T10:48:08 | https://www.reddit.com/r/LocalLLaMA/comments/1cbv2jp/llama3_project/ | slangenberg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbv2jp | false | null | t3_1cbv2jp | /r/LocalLLaMA/comments/1cbv2jp/llama3_project/ | false | false | self | 4 | null |
Code Gen FineTuning | 1 | [removed] | 2024-04-24T10:44:42 | https://www.reddit.com/r/LocalLLaMA/comments/1cbv0kd/code_gen_finetuning/ | One-Difficulty3149 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbv0kd | false | null | t3_1cbv0kd | /r/LocalLLaMA/comments/1cbv0kd/code_gen_finetuning/ | false | false | self | 1 | null |
Codegen LLM finetuning | 1 | [removed] | 2024-04-24T10:32:22 | https://www.reddit.com/r/LocalLLaMA/comments/1cbutrw/codegen_llm_finetuning/ | Meenaxi_Tank | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbutrw | false | null | t3_1cbutrw | /r/LocalLLaMA/comments/1cbutrw/codegen_llm_finetuning/ | false | false | self | 1 | null |
Why is everyone so keen on Llama-3? Command-R goes unnoticed. | 0 | My personal top models are:
Dolphin 2.6 Mistral 7B - still upbeat and optimistic, responsive within the first 1000-2000 tokens;
Command-r v01 35B - almost as good as the 104B but significantly faster, attentive and able to keep its cool with lengthy contexts.
Llama-3, on the other hand, only performs well in resp... | 2024-04-24T10:31:58 | https://www.reddit.com/r/LocalLLaMA/comments/1cbutkr/why_is_everyone_so_keen_on_llama3_commandr_goes/ | Popular-Direction984 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbutkr | false | null | t3_1cbutkr | /r/LocalLLaMA/comments/1cbutkr/why_is_everyone_so_keen_on_llama3_commandr_goes/ | false | false | self | 0 | null |
CodeGen LLM Finetuning | 1 | [removed] | 2024-04-24T10:20:00 | https://www.reddit.com/r/LocalLLaMA/comments/1cbun13/codegen_llm_finetuning/ | One-Difficulty3149 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbun13 | false | null | t3_1cbun13 | /r/LocalLLaMA/comments/1cbun13/codegen_llm_finetuning/ | false | false | self | 1 | null |
Phi 3 (4 billion parameters, 2024) beats GPT 3.5 Turbo (~ 175 billion parameters, 2023 version) in the banana logic benchmark 🍌 | 476 | 2024-04-24T10:12:49 | Flat-One8993 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1cbuj11 | false | null | t3_1cbuj11 | /r/LocalLLaMA/comments/1cbuj11/phi_3_4_billion_parameters_2024_beats_gpt_35/ | false | false | 476 | {'enabled': True, 'images': [{'id': 'WKzml5xjVObho61NR-spdmT6iGAZ-CCp-JIGegzbqWY', 'resolutions': [{'height': 46, 'url': 'https://preview.redd.it/h6nvy99vjewc1.png?width=108&crop=smart&auto=webp&s=9e1486833b43103246df762ede13275486742f89', 'width': 108}, {'height': 92, 'url': 'https://preview.redd.it/h6nvy99vjewc1.png?... | |||
"Mixture of QLoRAs" | 3 | so I read that QLoRA is adjusting the weight matrices as follows M' = M+A\*B where M:\[m x n\] + A:\[m x r B\]:\[r x n\], r<m , r<n
would it be possible and make any sense to have something like an MoE kinda like branching between several qlora finetunes\* where the branches are just the A,B matrices there, and there'... | 2024-04-24T10:11:19 | https://www.reddit.com/r/LocalLLaMA/comments/1cbui8r/mixture_of_qloras/ | dobkeratops | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbui8r | false | null | t3_1cbui8r | /r/LocalLLaMA/comments/1cbui8r/mixture_of_qloras/ | false | false | self | 3 | null |
7-14B model with the biggest context? | 1 | [removed] | 2024-04-24T10:06:15 | https://www.reddit.com/r/LocalLLaMA/comments/1cbufbt/714b_model_with_the_biggest_context/ | yupignome | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbufbt | false | null | t3_1cbufbt | /r/LocalLLaMA/comments/1cbufbt/714b_model_with_the_biggest_context/ | false | false | self | 1 | null |
I want to use Local LLM as a Classification Model | 5 | I have a lot of data where plumbers describe the issue they have faced when visiting a customer. In this particular dataset the plumbers were not really good at describing what the issue is. Some of them just say what they have replaced, some just mention the issue very vaguely. Some actually are good at explaining wha... | 2024-04-24T10:05:52 | https://www.reddit.com/r/LocalLLaMA/comments/1cbuf3y/i_want_to_use_local_llm_as_a_classification_model/ | underrated_prunes | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbuf3y | false | null | t3_1cbuf3y | /r/LocalLLaMA/comments/1cbuf3y/i_want_to_use_local_llm_as_a_classification_model/ | false | false | self | 5 | null |
My iPhone is playing with me | 1 | Running a Q4_K_M Quant of ‘Qwen 1.5-0.5B OpenHermes 2.5’ on my iPhone XS Max (4gb ram), and sometimes the small model size is reallly obvious (always). This is using cnvrs, a pre-release I believe. | 2024-04-24T09:55:21 | met_MY_verse | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1cbu9e1 | false | null | t3_1cbu9e1 | /r/LocalLLaMA/comments/1cbu9e1/my_iphone_is_playing_with_me/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'T2C-tzx9WWjBhiu7hT8eUnzg7RKuju8sKZEKko1WaZc', 'resolutions': [{'height': 216, 'url': 'https://preview.redd.it/v3frykdtgewc1.jpeg?width=108&crop=smart&auto=webp&s=033af28625e4fdf31b8334a9eb6b29fb33b6542f', 'width': 108}, {'height': 432, 'url': 'https://preview.redd.it/v3frykdtgewc1.j... | ||
Faster inference with 4-bit HQQ models | 30 | Introducing two new backends to HQQ using fused kernels for much faster inference.
One is based on TorchAO's tiny\_gemm and the other on Marlin. Currently supports 4-bit models, achieving speeds up to 200 tokens/sec for Llama-7B based models on 4090 and 60 tokens/sec on L4 with HF's transformers. We also rewrote the ... | 2024-04-24T09:54:06 | https://www.reddit.com/r/LocalLLaMA/comments/1cbu8ra/faster_inference_with_4bit_hqq_models/ | mobicham | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbu8ra | false | null | t3_1cbu8ra | /r/LocalLLaMA/comments/1cbu8ra/faster_inference_with_4bit_hqq_models/ | false | false | self | 30 | {'enabled': False, 'images': [{'id': '5vKCLmhJxIGTEa9yyDuvNbKWH9yGVm6OqjB-5fRC-R8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/9j5dcN6U5wMZ-Ca4ZpBthcRegnM9AM9jnIIVZtFMHxM.jpg?width=108&crop=smart&auto=webp&s=97fe34339bae13e761687c1d3fa8288beb1389b4', 'width': 108}, {'height': 108, 'url': 'h... |
Faster Kernels for HQQ | 1 | [removed] | 2024-04-24T09:45:26 | https://www.reddit.com/r/LocalLLaMA/comments/1cbu4ke/faster_kernels_for_hqq/ | sightio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbu4ke | false | null | t3_1cbu4ke | /r/LocalLLaMA/comments/1cbu4ke/faster_kernels_for_hqq/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '5vKCLmhJxIGTEa9yyDuvNbKWH9yGVm6OqjB-5fRC-R8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/9j5dcN6U5wMZ-Ca4ZpBthcRegnM9AM9jnIIVZtFMHxM.jpg?width=108&crop=smart&auto=webp&s=97fe34339bae13e761687c1d3fa8288beb1389b4', 'width': 108}, {'height': 108, 'url': 'h... |
How to create new embeddings using Chroma? | 1 | [removed] | 2024-04-24T09:37:03 | https://www.reddit.com/r/LocalLLaMA/comments/1cbu0ge/how_to_create_new_embeddings_using_chroma/ | TableauforViz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbu0ge | false | null | t3_1cbu0ge | /r/LocalLLaMA/comments/1cbu0ge/how_to_create_new_embeddings_using_chroma/ | false | false | self | 1 | null |
Anyone put Llama 3 on their Mac M2 (MLX)? | 4 | I'm using a Macbook M2 Max but haven't gone as far as installing an LLM locally yet. With the release of Llama 3 I think now is the moment, especially as I'm messing with Copilot/GPT4 daily (paying for it). I'm particularly interested in its code suggestions for languages like Python.
I've been reading about MLX whic... | 2024-04-24T09:31:43 | https://www.reddit.com/r/LocalLLaMA/comments/1cbtxvm/anyone_put_llama_3_on_their_mac_m2_mlx/ | LZRBRD | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbtxvm | false | null | t3_1cbtxvm | /r/LocalLLaMA/comments/1cbtxvm/anyone_put_llama_3_on_their_mac_m2_mlx/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'NOOQeep6S4aRk2u2mMWjg63fqfoU0WnWikRouqvOATQ', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/4psIPJS1tRLaXIGVIlu7bb7PH4jn4a7yklb4J3F2m60.jpg?width=108&crop=smart&auto=webp&s=3a90ebb066ab7196344338ade9f331da7d140163', 'width': 108}, {'height': 116, 'url': 'h... |
llama-3-70B RP fine-tune? | 1 | [removed] | 2024-04-24T09:05:16 | https://www.reddit.com/r/LocalLLaMA/comments/1cbtkje/llama370b_rp_finetune/ | Alarming_Sector5175 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbtkje | false | null | t3_1cbtkje | /r/LocalLLaMA/comments/1cbtkje/llama370b_rp_finetune/ | false | false | self | 1 | null |
How good is Phi-3-mini for everyone? | 133 | Hey everyone, I've been testing out Phi-3-mini, Microsoft's new small language model, and I'm blown away by its performance. Despite its modest 3 billion parameters, this model is a powerhouse, delivering top-notch results in various tasks.
Phi-3-mini's efficiency is a game-changer, allowing us to run large language... | 2024-04-24T08:38:41 | https://www.reddit.com/r/LocalLLaMA/comments/1cbt78y/how_good_is_phi3mini_for_everyone/ | Discordpeople | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbt78y | false | null | t3_1cbt78y | /r/LocalLLaMA/comments/1cbt78y/how_good_is_phi3mini_for_everyone/ | false | false | self | 133 | {'enabled': False, 'images': [{'id': '-cpIaurHZZcBKbQCVfAiJi6o5DjLCNdejriwbNaS0fA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/faW8JISN3EdKRrLEOuvzIDOnCIp6NDwAg68-tSmu2eM.jpg?width=108&crop=smart&auto=webp&s=387eba35414787282f8c19aad2479714c380acf9', 'width': 108}, {'height': 116, 'url': 'h... |
Claude still supreme followed by CommandR plus | 0 | So I gave our loved models a task, I provided to how one number can be converted to another number to see who gave the best result, the answer was Dec to Hex then little-endian hex to decimal technically.
Neither llama3 or ChatGPT 3.5 worked that out
Claude through some suggestions and the first one being endianness b... | 2024-04-24T08:38:06 | https://www.reddit.com/r/LocalLLaMA/comments/1cbt6yj/claude_still_supreme_followed_by_commandr_plus/ | ihaag | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbt6yj | false | null | t3_1cbt6yj | /r/LocalLLaMA/comments/1cbt6yj/claude_still_supreme_followed_by_commandr_plus/ | false | false | self | 0 | null |
RAM for Inference ?? | 1 | [removed] | 2024-04-24T08:28:43 | https://www.reddit.com/r/LocalLLaMA/comments/1cbt2eq/ram_for_inference/ | _w0n | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbt2eq | false | null | t3_1cbt2eq | /r/LocalLLaMA/comments/1cbt2eq/ram_for_inference/ | false | false | self | 1 | null |
What are the current best ways to integrate LLMs on Android (for developers)? | 9 | I've been through a couple of projects like:
• llama.rn
• llama_cpp_dart
etc.
But I haven't been able to implement them in my own app. I'm preferably looking for something flutter based that can run the model locally without needing to fetch from a server. Has anyone tried to incorporate these into their own apps? | 2024-04-24T08:24:24 | https://www.reddit.com/r/LocalLLaMA/comments/1cbt0eo/what_are_the_current_best_ways_to_integrate_llms/ | GamerWael | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbt0eo | false | null | t3_1cbt0eo | /r/LocalLLaMA/comments/1cbt0eo/what_are_the_current_best_ways_to_integrate_llms/ | false | false | self | 9 | null |
I just found a second 1660S lying around. Can I somehow put it to use? | 3 | I have a machine running 1660S already which serves 7b models. I just found another 1660s I forgot about. I know it doesn't support NVLink, but is there a way I benefit from that VRAM? I'm mainly talking about inference, I'm aware this is a crap setup for any fine tuning on decent size models.
I heard about solutions ... | 2024-04-24T08:09:04 | https://www.reddit.com/r/LocalLLaMA/comments/1cbssyh/i_just_found_a_second_1660s_lying_around_can_i/ | CautiousSand | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbssyh | false | null | t3_1cbssyh | /r/LocalLLaMA/comments/1cbssyh/i_just_found_a_second_1660s_lying_around_can_i/ | false | false | self | 3 | null |
[Idea] Enhancing Language Model Inference with Inline Reasoning and Computation | 6 | I have an idea that I believe could enable language models to perform inline reasoning and computation within a single prompt, but I'm seeking insights and feedback from those more knowledgeable in this field.
Idea:
The idea is to modify the inference engine to allow it to stop inference at certain points, execute a... | 2024-04-24T08:07:28 | https://www.reddit.com/r/LocalLLaMA/comments/1cbss7b/idea_enhancing_language_model_inference_with/ | Physical_Wallaby_152 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbss7b | false | null | t3_1cbss7b | /r/LocalLLaMA/comments/1cbss7b/idea_enhancing_language_model_inference_with/ | false | false | self | 6 | null |
Qlora only for already quantized model? | 4 | I was learning about lora and qlora, came to a point that says qlora is just lora but with quantization. I mean what? So are you saying till now people were using lora in the unquantized model going around 32 bits, while qlora technique is used to quantize as well use lora technique? That doesn't make sense, I have see... | 2024-04-24T07:55:29 | https://www.reddit.com/r/LocalLLaMA/comments/1cbsmb8/qlora_only_for_already_quantized_model/ | Old-Box-854 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbsmb8 | false | null | t3_1cbsmb8 | /r/LocalLLaMA/comments/1cbsmb8/qlora_only_for_already_quantized_model/ | false | false | self | 4 | null |
Efficiently Build your MoE with LLaMa3 models | 22 | 🚀 mergoo now supports LLaMa3 based models. You can easily build your own MoE-style architecture with LLaMa3 fine-tuned models on Huggingface hub 🤗
library: [https://github.com/Leeroo-AI/mergoo](https://github.com/Leeroo-AI/mergoo)
tutorial: [https://github.com/Leeroo-AI/mergoo/blob/main/notebooks/integrate\_llama3\... | 2024-04-24T07:54:03 | https://www.reddit.com/r/LocalLLaMA/comments/1cbslmd/efficiently_build_your_moe_with_llama3_models/ | alirezamsh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbslmd | false | null | t3_1cbslmd | /r/LocalLLaMA/comments/1cbslmd/efficiently_build_your_moe_with_llama3_models/ | false | false | self | 22 | {'enabled': False, 'images': [{'id': 'y53tH6WXcG8Hj783R62Cofz5bHaMdbGOJCVL2Igmz4c', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/O4Wgiy5Fhna6MPwA-X3ZCMvZi5cpip9mIiS9cc1VT38.jpg?width=108&crop=smart&auto=webp&s=d91dcb337bff8a9f3c1550a7c05351021979c329', 'width': 108}, {'height': 108, 'url': 'h... |
Local AI Translator | 1 | [removed] | 2024-04-24T07:42:48 | https://www.reddit.com/r/LocalLLaMA/comments/1cbsg36/local_ai_translator/ | reddixyz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbsg36 | false | null | t3_1cbsg36 | /r/LocalLLaMA/comments/1cbsg36/local_ai_translator/ | false | false | self | 1 | null |
Phi-3-mini is now available on Chatbot Arena | 23 | 2024-04-24T07:40:29 | https://chat.lmsys.org/ | Balance- | chat.lmsys.org | 1970-01-01T00:00:00 | 0 | {} | 1cbsez9 | false | null | t3_1cbsez9 | /r/LocalLLaMA/comments/1cbsez9/phi3mini_is_now_available_on_chatbot_arena/ | false | false | default | 23 | null | |
LA Times Dataset: Full Text, 2.6B tokens | 35 | Finally uploaded the full version of this dataset. enjoy!
[https://huggingface.co/datasets/Astris/LA-Times](https://huggingface.co/datasets/Astris/LA-Times) | 2024-04-24T07:39:21 | https://www.reddit.com/r/LocalLLaMA/comments/1cbseew/la_times_dataset_full_text_26b_tokens/ | metaprotium | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbseew | false | null | t3_1cbseew | /r/LocalLLaMA/comments/1cbseew/la_times_dataset_full_text_26b_tokens/ | false | false | self | 35 | {'enabled': False, 'images': [{'id': 'xYjyeL9EFi8ZhmB1XR9Q3b3LD3WUrL92cSY8OZtdlcE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/fTcfCK2g-IVldC47ByQvTQICk024tuNaGHHKsCPx4nk.jpg?width=108&crop=smart&auto=webp&s=88ca9a094211cb04d1f44521a263171ed0c6658f', 'width': 108}, {'height': 116, 'url': 'h... |
Having Trouble Using Llama Cpp Server Prompt Cache: What's the Method to Utilize the Saved Cache? | 2 | [removed] | 2024-04-24T07:35:51 | https://www.reddit.com/r/LocalLLaMA/comments/1cbsctp/having_trouble_using_llama_cpp_server_prompt/ | SoilFantastic6587 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbsctp | false | null | t3_1cbsctp | /r/LocalLLaMA/comments/1cbsctp/having_trouble_using_llama_cpp_server_prompt/ | false | false | self | 2 | null |
Will llama.cpp only accept GGUF file? | 1 | [removed] | 2024-04-24T07:32:41 | https://www.reddit.com/r/LocalLLaMA/comments/1cbsbbp/will_llamacpp_only_accept_gguf_file/ | gilzonme | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbsbbp | false | null | t3_1cbsbbp | /r/LocalLLaMA/comments/1cbsbbp/will_llamacpp_only_accept_gguf_file/ | false | false | self | 1 | null |
Local AI Translator | 1 | [removed] | 2024-04-24T07:27:25 | https://www.reddit.com/r/LocalLLaMA/comments/1cbs8pk/local_ai_translator/ | reddixyz | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbs8pk | false | null | t3_1cbs8pk | /r/LocalLLaMA/comments/1cbs8pk/local_ai_translator/ | false | false | self | 1 | null |
Having Trouble Using Llama Cpp Server Prompt Cache: What's the Method to Utilize the Saved Cache? | 1 | [removed] | 2024-04-24T07:26:30 | https://www.reddit.com/r/LocalLLaMA/comments/1cbs89f/having_trouble_using_llama_cpp_server_prompt/ | SoilFantastic6587 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbs89f | false | null | t3_1cbs89f | /r/LocalLLaMA/comments/1cbs89f/having_trouble_using_llama_cpp_server_prompt/ | false | false | self | 1 | null |
Questions about Meta-Llama-3-8B | 5 | Sorry, if my questions seem noobish, I'm fairly new to this.
I have requested and obtained access to the Llama-3-8B
1) When I try to load it, it seems to be downloading many 16 GB files and then run out of space, although it shouldn't be larger than 10 GB in total when I look at the files. Am I doing it wrong?
h... | 2024-04-24T07:21:46 | https://www.reddit.com/r/LocalLLaMA/comments/1cbs5xg/questions_about_metallama38b/ | houmie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbs5xg | false | null | t3_1cbs5xg | /r/LocalLLaMA/comments/1cbs5xg/questions_about_metallama38b/ | false | false | self | 5 | null |
Apple joins the open source party | 109 | https://twitter.com/sbeastwindy/status/1783029455398560208?s=19 | 2024-04-24T07:09:00 | https://www.reddit.com/r/LocalLLaMA/comments/1cbrza9/apple_joins_the_open_source_party/ | Eastwindy123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbrza9 | false | null | t3_1cbrza9 | /r/LocalLLaMA/comments/1cbrza9/apple_joins_the_open_source_party/ | false | false | self | 109 | {'enabled': False, 'images': [{'id': '6oA2U9wbG3MoNKwIemMr0lpaWTLofgm0XEjxdB3-DSY', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/QW1txjvH0SioL98u2roM33HzkXiaz6gwHeneTza3tqs.jpg?width=108&crop=smart&auto=webp&s=dbe987479c0193fb8a8d5343fc682ce7747df6ab', 'width': 108}], 'source': {'height': 14... |
Soliloquy L3, 24k context Llama 3 RP finetune | 1 | [removed] | 2024-04-24T07:02:00 | https://www.reddit.com/r/LocalLLaMA/comments/1cbrvtd/soliloquy_l3_24k_context_llama_3_rp_finetune/ | realmaywell | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbrvtd | false | null | t3_1cbrvtd | /r/LocalLLaMA/comments/1cbrvtd/soliloquy_l3_24k_context_llama_3_rp_finetune/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'kRMqMeGpwGsgWZZ-bnFcP4Qay025DD6eirslL-F1GT4', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/rrDXazyiVBBkheL-VP1-E0-h8-YGdO3RJMPY9cHs8gA.jpg?width=108&crop=smart&auto=webp&s=aa3954ef7568c050b1025c6bf3518f7754037873', 'width': 108}, {'height': 116, 'url': 'h... |
Llama 3 70B is REALLY good with creative writing with just a little bit of prompting effort. I'm very impressed. | 186 | I'm an amateur writer with no previous experience. I've been writing a romance novel, largely by myself, with the help of LLMs for brainstorming, and helping me when I get stuck with wording or plot points. I've never been happy with how they write: without much personality, and tend to really miss the feeling I'm tryi... | 2024-04-24T06:57:10 | https://www.reddit.com/r/LocalLLaMA/comments/1cbrt5l/llama_3_70b_is_really_good_with_creative_writing/ | idnvotewaifucontent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbrt5l | false | null | t3_1cbrt5l | /r/LocalLLaMA/comments/1cbrt5l/llama_3_70b_is_really_good_with_creative_writing/ | false | false | self | 186 | {'enabled': False, 'images': [{'id': 'U-37IJtvVY19Q8JxMklP6HFpUrWPDEvSO3gQr8wJoRs', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/_pUptILvlAV37Yd9aDETkb_Y2Wx_nbMoXsNyAmQWWqE.jpg?width=108&crop=smart&auto=webp&s=465d5769898c1c1e9d3934136a73007822345451', 'width': 108}, {'height': 113, 'url': 'h... |
Creating q/a dataset from text corpus | 1 | [removed] | 2024-04-24T06:46:24 | https://www.reddit.com/r/LocalLLaMA/comments/1cbrner/creating_qa_dataset_from_text_corpus/ | lohipi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbrner | false | null | t3_1cbrner | /r/LocalLLaMA/comments/1cbrner/creating_qa_dataset_from_text_corpus/ | false | false | self | 1 | null |
llama3_cookbook_beginner! | 5 |
llama\_cookbook!
I'm working on a cookbook to organize information for beginners who want to use lama3. Please share more information in the issue and feel free to comment on it
[https://github.com/jh941213/LLaMA3\_cookbook](https://github.com/jh941213/LLaMA3_cookbook)
I'd appreciate it if you'd come and give me... | 2024-04-24T06:42:08 | https://www.reddit.com/r/LocalLLaMA/comments/1cbrkzz/llama3_cookbook_beginner/ | AIsimons | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbrkzz | false | null | t3_1cbrkzz | /r/LocalLLaMA/comments/1cbrkzz/llama3_cookbook_beginner/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': 'UBmEpK5Re4J9zY9AJkEIkuIwnugZgCFigX0WQFEtUrM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/sPkU4sYvhMDnSQ00ohhB1xezD98w_uUofbeVuc_pvps.jpg?width=108&crop=smart&auto=webp&s=1e62516c990dd7dd84b6f903bcd2c760c9acab34', 'width': 108}, {'height': 108, 'url': 'h... |
Multilingual Llama 3 8B Instruct from Lightblue - We've released the model, training params, and a brand new high quality multilingual 75K row training chat dataset in more than 70 languages. For all my non-English speaking homies! | 76 | 2024-04-24T06:34:13 | https://huggingface.co/lightblue/suzume-llama-3-8B-multilingual | Peter_Lightblue | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1cbrgsa | false | null | t3_1cbrgsa | /r/LocalLLaMA/comments/1cbrgsa/multilingual_llama_3_8b_instruct_from_lightblue/ | false | false | 76 | {'enabled': False, 'images': [{'id': 'y3YIQ4A1gWg3OdpUQUK8qwONI9sD7UQNUJBH1Jw429U', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/z5wT5jqZS94ETTdnqc2Vg57Ol79dKA6qlCY8ZKs2Zu8.jpg?width=108&crop=smart&auto=webp&s=533dbff6dd7203d0b43556ce0cc68a8fccfc0f83', 'width': 108}, {'height': 116, 'url': 'h... | ||
Made a NEW Llama 3 Model: Meta-Llama-3-8B-Instruct-Dolfin-v0.1 (Modified Dolphin dataset and Llama 3 chat format) | 12 | What is this:
So some of you guys might know me from my Sundanese Mistral model I made here: [I tried to teach Mistral 7B a new language (Sundanese) and it worked! (sort of) : r/LocalLLaMA (reddit.com)](https://www.reddit.com/r/LocalLLaMA/comments/18oc1yc/i_tried_to_teach_mistral_7b_a_new_language/)
Since then, I hav... | 2024-04-24T06:13:41 | https://www.reddit.com/r/LocalLLaMA/comments/1cbr5o3/made_a_new_llama_3_model/ | nero10578 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbr5o3 | false | null | t3_1cbr5o3 | /r/LocalLLaMA/comments/1cbr5o3/made_a_new_llama_3_model/ | false | false | self | 12 | null |
What is everyone's favorite model for "chatting" with your documents? | 6 | I recently discovered AnythingLLM and it's so well-designed I'd really like to make the most of it. What local LLM do you all feel works best with it for chatting with your documents? | 2024-04-24T06:04:14 | https://www.reddit.com/r/LocalLLaMA/comments/1cbr0ff/what_is_everyones_favorite_model_for_chatting/ | delveccio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbr0ff | false | null | t3_1cbr0ff | /r/LocalLLaMA/comments/1cbr0ff/what_is_everyones_favorite_model_for_chatting/ | false | false | self | 6 | null |
When Running Llama CPP Server with the --slot-save-path PATH Parameter, It Saves the Path State. Which Parameter Should I Use to Read the Saved State When Running It Again? | 1 | [removed] | 2024-04-24T05:54:01 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1cbquh9 | false | null | t3_1cbquh9 | /r/LocalLLaMA/comments/1cbquh9/when_running_llama_cpp_server_with_the/ | false | false | default | 1 | null | ||
Conversational Dataset in the service domain | 1 | [removed] | 2024-04-24T05:53:54 | https://www.reddit.com/r/LocalLLaMA/comments/1cbquex/conversational_dataset_in_the_service_domain/ | OkFaithlessness266 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbquex | false | null | t3_1cbquex | /r/LocalLLaMA/comments/1cbquex/conversational_dataset_in_the_service_domain/ | false | false | self | 1 | null |
What’s going on with 1.58bit LLMs? | 17 | No 1.58bit llama 3 70b? | 2024-04-24T05:49:23 | https://www.reddit.com/r/LocalLLaMA/comments/1cbqrve/whats_going_on_with_158bit_llms/ | FuckShitFuck223 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbqrve | false | null | t3_1cbqrve | /r/LocalLLaMA/comments/1cbqrve/whats_going_on_with_158bit_llms/ | false | false | self | 17 | null |
llama3 vs phi3: Cloudflare | 12 | *prompt*
Please write a python script to retrieve all active zones i have on cloudflare. consider pagination since i have more than 100 domains
*results*
Both responded with working code, but phi3 gave more accurate code and informations, surprisingly.
Anyway the good is that finally we can run LLM over CPU 😍
I a... | 2024-04-24T05:40:48 | https://www.reddit.com/gallery/1cbqmvw | fab_space | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1cbqmvw | false | null | t3_1cbqmvw | /r/LocalLLaMA/comments/1cbqmvw/llama3_vs_phi3_cloudflare/ | false | false | 12 | null | |
48GB ram and the dying breed of 30B models | 133 | I recently bought an M3 MacBook with 48GB ram. This was the largest that Apple offers without having to special order.
So far, my experience has been very underwhelming. 48GB seems to be just barely too small to load a 70B model at 4 or 5 bpw quants (the smallest without getting huge losses from what I’ve seen).
I’... | 2024-04-24T05:26:02 | https://www.reddit.com/r/LocalLLaMA/comments/1cbqe68/48gb_ram_and_the_dying_breed_of_30b_models/ | nife552 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbqe68 | false | null | t3_1cbqe68 | /r/LocalLLaMA/comments/1cbqe68/48gb_ram_and_the_dying_breed_of_30b_models/ | false | false | self | 133 | null |
My Solo Duet with Llama 3: Yeah, can you point me to LLM 101? | 0 | Somewhere between three to five months ago, I tried to dip into the LLM space, and quickly learned I did not fundamentally understand how to make things work the way I had hoped. "What am I looking for," one might ask? Literally, anything and everything in the same context that I would open the ChatGPT interface on a w... | 2024-04-24T05:21:54 | https://www.reddit.com/r/LocalLLaMA/comments/1cbqbuh/my_solo_duet_with_llama_3_yeah_can_you_point_me/ | ThemWhoNoseNothing | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbqbuh | false | null | t3_1cbqbuh | /r/LocalLLaMA/comments/1cbqbuh/my_solo_duet_with_llama_3_yeah_can_you_point_me/ | false | false | 0 | null | |
Phi-3 mini (fp16) is awesome | 1 | [removed] | 2024-04-24T04:44:55 | https://www.reddit.com/r/LocalLLaMA/comments/1cbppaj/phi3_mini_fp16_is_awesome/ | Valuable-Run2129 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbppaj | false | null | t3_1cbppaj | /r/LocalLLaMA/comments/1cbppaj/phi3_mini_fp16_is_awesome/ | false | false | self | 1 | null |
So who's the new under 20b~ king with all these new base models? | 25 | Would love to see some third party testing outside of the regular benchmarks that most models seem over fitted for. Namely between qwen 1.5 14b, llama 3 8b and phi 3 medium 14b. The latter two interest me the most, llama 3 8b is trained on a lot more tokens but phi 3 medium is also almost twice the size. | 2024-04-24T03:55:29 | https://www.reddit.com/r/LocalLLaMA/comments/1cbotea/so_whos_the_new_under_20b_king_with_all_these_new/ | lemon07r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbotea | false | null | t3_1cbotea | /r/LocalLLaMA/comments/1cbotea/so_whos_the_new_under_20b_king_with_all_these_new/ | false | false | self | 25 | null |
PC specs for local L3-70B-Instruct. | 1 | [removed] | 2024-04-24T03:54:35 | https://www.reddit.com/r/LocalLLaMA/comments/1cbosrp/pc_specs_for_local_l370binstruct/ | PartyHyena9422 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbosrp | false | null | t3_1cbosrp | /r/LocalLLaMA/comments/1cbosrp/pc_specs_for_local_l370binstruct/ | false | false | self | 1 | null |
TextgenUI Using One Core | 3 | I’m running oogabooga’s textgen ui software on my Ubuntu machine with 4 gpus (P40) and 2 cpus with 16 cores each. The problem that I’m running into is that textgen seems to only be using one core at a time, as indicated by a core always being pinned at 100% while running a model. I am trying to run llama 3 70b at 8 bit... | 2024-04-24T03:50:16 | https://www.reddit.com/r/LocalLLaMA/comments/1cboq2o/textgenui_using_one_core/ | The-Communist-Cat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cboq2o | false | null | t3_1cboq2o | /r/LocalLLaMA/comments/1cboq2o/textgenui_using_one_core/ | false | false | self | 3 | null |
What is the most advanced uncensored open source LLM? | 1 | [removed] | 2024-04-24T03:08:56 | https://www.reddit.com/r/LocalLLaMA/comments/1cbnys6/what_is_the_most_advanced_uncensored_open_source/ | HugspaceApp | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbnys6 | false | null | t3_1cbnys6 | /r/LocalLLaMA/comments/1cbnys6/what_is_the_most_advanced_uncensored_open_source/ | false | false | self | 1 | null |
Fine-tuning Llama38b for SQL queries? | 1 | Hey guys! Pretty much what the title says. Has anyone tried fine-tuning the new model to tackle SQL query curation yet? If so, how did you find the results? Also, has anyone seen any repositories with data to input when fine tuning? Im going to be integrating this with postgres so i will need to change the data anyway,... | 2024-04-24T02:54:26 | https://www.reddit.com/r/LocalLLaMA/comments/1cbnoox/finetuning_llama38b_for_sql_queries/ | Ok-Dish-5161 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbnoox | false | null | t3_1cbnoox | /r/LocalLLaMA/comments/1cbnoox/finetuning_llama38b_for_sql_queries/ | false | false | self | 1 | null |
Need a CPU-supported, easy-to-use, production-ready LLM tool (Alternative to llama.cpp,ollama) | 0 | Need a CPU-supported, easy-to-use, production-ready LLM tool (Alternative to llama.cpp,ollama) | 2024-04-24T02:02:59 | https://www.reddit.com/r/LocalLLaMA/comments/1cbmnex/need_a_cpusupported_easytouse_productionready_llm/ | gilzonme | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbmnex | false | null | t3_1cbmnex | /r/LocalLLaMA/comments/1cbmnex/need_a_cpusupported_easytouse_productionready_llm/ | false | false | self | 0 | null |
I had a spooky idea. I need a volunteer. | 0 | >|||PROMPT:assistant|Circius Ringmaster
​
>|||rpi|follow user's direction.| Call out to the crowd, asking for a volunteer for a magic trick that may or may not work. Present a mysterious box on the stage and challenge someone to enter.
llama 38B Q8:
"Ahahah, dear friends, gather 'round! Tonight, I present... | 2024-04-24T02:00:37 | https://www.reddit.com/r/LocalLLaMA/comments/1cbmlj7/i_had_a_spooky_idea_i_need_a_volunteer/ | aseichter2007 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbmlj7 | false | null | t3_1cbmlj7 | /r/LocalLLaMA/comments/1cbmlj7/i_had_a_spooky_idea_i_need_a_volunteer/ | false | false | self | 0 | null |
Apple OpenELM | 158 | 2024-04-24T01:46:28 | https://huggingface.co/apple/OpenELM | bratao | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1cbmb0x | false | null | t3_1cbmb0x | /r/LocalLLaMA/comments/1cbmb0x/apple_openelm/ | false | false | 158 | {'enabled': False, 'images': [{'id': '99eWDXttlmPV_AAVtrFN9i822G8u12XcT_QxU_LISGs', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/a367DQ7gu1QIkCdt7Tt7bphhTAhSQGVID5o-pjHGCVU.jpg?width=108&crop=smart&auto=webp&s=d74358e13136c8cfe59a40d302b0cae67d90e231', 'width': 108}, {'height': 116, 'url': 'h... | ||
Hardware suggestions for small office. | 12 | I run a small, tech-focused law firm. I use ChatGPT and Gemini and love them, but I do not want to use them for projects that include client data (see p.p.s. below). I can think of some great use cases that are unavailable to me because of that.
I have been experimenting with Ollama and AnythingLLM and have had great ... | 2024-04-24T01:41:43 | https://www.reddit.com/r/LocalLLaMA/comments/1cbm7js/hardware_suggestions_for_small_office/ | newz2000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbm7js | false | null | t3_1cbm7js | /r/LocalLLaMA/comments/1cbm7js/hardware_suggestions_for_small_office/ | false | false | self | 12 | null |
Noche de martes | 1 | [removed] | 2024-04-24T01:34:33 | https://www.reddit.com/r/LocalLLaMA/comments/1cbm29y/noche_de_martes/ | Disastrous_Catch_420 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbm29y | false | null | t3_1cbm29y | /r/LocalLLaMA/comments/1cbm29y/noche_de_martes/ | false | false | self | 1 | null |
Need advice | 2 | I trying to make an app that sort of remembers things for you
I have a lot of datasources but lets say i want to go go back to an email where I mentioned about a deadline
How could i do this when i have a lot of data coming through | 2024-04-24T01:16:28 | https://www.reddit.com/r/LocalLLaMA/comments/1cbloqc/need_advice/ | Kind-Mortgage7200 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbloqc | false | null | t3_1cbloqc | /r/LocalLLaMA/comments/1cbloqc/need_advice/ | false | false | self | 2 | null |
LM Studio broke after updating to Version 0.2.20. I cannot use any models anymore. This is the error I got. Any ideas on how to fix it? | 1 | 2024-04-24T00:54:53 | aknalid | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1cbl8k9 | false | null | t3_1cbl8k9 | /r/LocalLLaMA/comments/1cbl8k9/lm_studio_broke_after_updating_to_version_0220_i/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'EvfSY6rbEYdL8q06GGWeMP_t4w763Su9TE3zj66NqsE', 'resolutions': [{'height': 51, 'url': 'https://preview.redd.it/ulggxlq8sbwc1.png?width=108&crop=smart&auto=webp&s=62e1f13dc525c9509e01eabc47ed8ac8ff073477', 'width': 108}, {'height': 103, 'url': 'https://preview.redd.it/ulggxlq8sbwc1.png... | |||
12 Hours Later, Groq Deploys Llama 3 Instruct (8 & 70B) by Meta AI on Its LPU™ Inference Engine - Groq | 0 | 2024-04-24T00:50:13 | https://wow.groq.com/12-hours-later-groq-is-running-llama-3-instruct-8-70b-by-meta-ai-on-its-lpu-inference-enginge/ | GrantFranzuela | wow.groq.com | 1970-01-01T00:00:00 | 0 | {} | 1cbl56f | false | null | t3_1cbl56f | /r/LocalLLaMA/comments/1cbl56f/12_hours_later_groq_deploys_llama_3_instruct_8/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'c-6VtQo8xIlFWm5QOPqDvn4OOOEKuS-v-pngUqR0KMw', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/hgitVNkcWtmVtudqIQp9unGo0Xy95RI4ThYSRUcPdn0.jpg?width=108&crop=smart&auto=webp&s=f65c88b3317500a00537abb79b937e442d2ba891', 'width': 108}, {'height': 112, 'url': 'h... | ||
Introducing DJ Mode and Sleep Mode: Updates from My-AVA | 1 | [removed] | 2024-04-24T00:49:59 | http://my-ava.net | lynxspoon | my-ava.net | 1970-01-01T00:00:00 | 0 | {} | 1cbl506 | false | null | t3_1cbl506 | /r/LocalLLaMA/comments/1cbl506/introducing_dj_mode_and_sleep_mode_updates_from/ | false | false | default | 1 | null |
Evolutionary Model Merging | 58 | From [Zuck](https://youtu.be/i-o5YbNfmh0?si=PLCNFt-AzkcWHBe1) to [Demis Hassabis](https://open.substack.com/pub/dwarkesh/p/demis-hassabis?selection=65efd561-f2a4-4a46-a29e-0c7628d39caf&utm_campaign=post-share-selection&utm_medium=web) - apart from scaling the data and and model size - thereby reaching compute bottlenec... | 2024-04-24T00:49:06 | krishnakaasyap | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1cbl4d3 | false | null | t3_1cbl4d3 | /r/LocalLLaMA/comments/1cbl4d3/evolutionary_model_merging/ | false | false | 58 | {'enabled': True, 'images': [{'id': 'VhR1oeuuFw610EQKE6bMJhmGUgzZZx3iMW5gyoeMSUU', 'resolutions': [{'height': 71, 'url': 'https://preview.redd.it/xcpvjcscrbwc1.jpeg?width=108&crop=smart&auto=webp&s=3c54278546ea7ce3b11027ea01e72041c43b6fcf', 'width': 108}, {'height': 142, 'url': 'https://preview.redd.it/xcpvjcscrbwc1.jp... | ||
How to summarize a long document with LlamaIndex DocumentSummaryIndex? | 5 | I'm trying to summarize a long document. I've loaded a pdf document which got splitted into 74 documents by SimpleDirectoryReader.
As expected, DocumentSummaryIndex.from_documents goes through each node, and created a summary via the selected llm.
However, query_engine.query("Summarize the documents") only select one... | 2024-04-24T00:33:33 | https://www.reddit.com/r/LocalLLaMA/comments/1cbkspn/how_to_summarize_a_long_document_with_llamaindex/ | chibop1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbkspn | false | null | t3_1cbkspn | /r/LocalLLaMA/comments/1cbkspn/how_to_summarize_a_long_document_with_llamaindex/ | false | false | self | 5 | null |
Evaluating RAG | 9 | Which metrics are the SOTA for evaluating results from RAG. I am currently building a QA application and everytime I tweak something, it changes the results as expected. I want to attach an eval framework to it such that I can maintain the consistency. | 2024-04-24T00:21:41 | https://www.reddit.com/r/LocalLLaMA/comments/1cbkjvn/evaluating_rag/ | Donotsellstocks | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbkjvn | false | null | t3_1cbkjvn | /r/LocalLLaMA/comments/1cbkjvn/evaluating_rag/ | false | false | self | 9 | null |
VT.ai - Open Source Multi-modal LLM Chat Application | 5 | Hi everyone,
I’m building a multi-modal full stack LLM chat application. Using semantic-router for dynamic conversation routing, and LiteLMM for model providers. \[0\]
Here is the full list of large language models. I will update more models in the future.
I will be adding function calling support (tools use) for th... | 2024-04-24T00:17:21 | https://www.reddit.com/r/LocalLLaMA/comments/1cbkgjs/vtai_open_source_multimodal_llm_chat_application/ | vinhnx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbkgjs | false | null | t3_1cbkgjs | /r/LocalLLaMA/comments/1cbkgjs/vtai_open_source_multimodal_llm_chat_application/ | false | false | self | 5 | {'enabled': False, 'images': [{'id': '5IoRyGXnrutB8BDqf8r_HAPoT1839WSs_dnJKuehSJg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/uT9TWiX3COux6iOXS0nws6TH2zQmbkITsmHw3yCtknk.jpg?width=108&crop=smart&auto=webp&s=5b07ee886b1f322858556066ac1ab3a2b85ae849', 'width': 108}, {'height': 108, 'url': 'h... |
Share Multi-modal LLM Chat Application | 1 | Hi everyone,
I’m building a multi-modal full stack LLM chat application. Using semantic-router for dynamic conversation routing, and LiteLMM for model providers. \[0\]
Here is the full list of large language models. I will update more models in the future.
I will be adding function calling support (tools use) for th... | 2024-04-24T00:16:21 | https://www.reddit.com/r/LocalLLaMA/comments/1cbkfsx/share_multimodal_llm_chat_application/ | vinhnx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbkfsx | false | null | t3_1cbkfsx | /r/LocalLLaMA/comments/1cbkfsx/share_multimodal_llm_chat_application/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '5IoRyGXnrutB8BDqf8r_HAPoT1839WSs_dnJKuehSJg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/uT9TWiX3COux6iOXS0nws6TH2zQmbkITsmHw3yCtknk.jpg?width=108&crop=smart&auto=webp&s=5b07ee886b1f322858556066ac1ab3a2b85ae849', 'width': 108}, {'height': 108, 'url': 'h... |
Current best model for uncensored prose | 0 | I mean sexual prose, violent prose. I've read that Lewdicolous has some of the best, but they seem to focus in role playing.
Since there's been an explosion of awesome models, I wonder if there's anything better now? Preferable medium size like 30B - 70B so the prose is more natural. Some of the smaller models tend t... | 2024-04-23T23:46:07 | https://www.reddit.com/r/LocalLLaMA/comments/1cbjs4r/current_best_model_for_uncensored_prose/ | harderisbetter | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbjs4r | false | null | t3_1cbjs4r | /r/LocalLLaMA/comments/1cbjs4r/current_best_model_for_uncensored_prose/ | false | false | nsfw | 0 | null |
Phi-3 is now working on iPhone using cnvrs | 1 | 2024-04-23T22:51:16 | tillrd | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1cbijon | false | null | t3_1cbijon | /r/LocalLLaMA/comments/1cbijon/phi3_is_now_working_on_iphone_using_cnvrs/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'ETiKKlIPYJpvOCl-WbFWwo1l9vfOzVzDEnuFf06IFu4', 'resolutions': [{'height': 66, 'url': 'https://preview.redd.it/4pw58v4c6bwc1.jpeg?width=108&crop=smart&auto=webp&s=c06d73e65ad6575ce09ded98cbb16dca4bab4ff6', 'width': 108}, {'height': 132, 'url': 'https://preview.redd.it/4pw58v4c6bwc1.jp... | |||
ChatGPT level model on phone | 0 | When I saw a tweet last year that was saying that there would be ChatGPT (3.5 Turbo) size models that could be able to run on an iPhone or Android phone, I was really not sure about it but still hyped. If Microsoft's phi3 small model is really as good as they say it would be f\*cking awesome. | 2024-04-23T22:44:49 | https://www.reddit.com/r/LocalLLaMA/comments/1cbie5n/chatgpt_level_model_on_phone/ | redule26 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbie5n | false | null | t3_1cbie5n | /r/LocalLLaMA/comments/1cbie5n/chatgpt_level_model_on_phone/ | false | false | self | 0 | null |
Llama 3 with function calling and code interpreting | 11 | 2024-04-23T22:36:36 | https://github.com/e2b-dev/e2b-cookbook/blob/main/examples/llama-3-code-interpreter/llama_3_code_interpreter.ipynb | mlejva | github.com | 1970-01-01T00:00:00 | 0 | {} | 1cbi76o | false | null | t3_1cbi76o | /r/LocalLLaMA/comments/1cbi76o/llama_3_with_function_calling_and_code/ | false | false | 11 | {'enabled': False, 'images': [{'id': 'Ldz1HbB5dw91xUm4nQ4f2edl3gTr5jofVVgDju5BhEM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/pE4lo0jH9UHH08brN3lTMjvk03UC39I5fOIBAG1sbPk.jpg?width=108&crop=smart&auto=webp&s=a0c4acb5d1d2f408eee0127af815a88be56d4a37', 'width': 108}, {'height': 108, 'url': 'h... | ||
Any best practices for AnythingLLM | 1 | [removed] | 2024-04-23T22:33:01 | https://www.reddit.com/r/LocalLLaMA/comments/1cbi43g/any_best_practices_for_anythingllm/ | Hatred_grows | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbi43g | false | null | t3_1cbi43g | /r/LocalLLaMA/comments/1cbi43g/any_best_practices_for_anythingllm/ | false | false | self | 1 | null |
You can now run Llama 70B.. in your web browser 0_0 | 0 | I thought it was a typo at first, but apparently [Web LLM](https://webllm.mlc.ai/) now supports running a 70B model in your browser.
My laptop doesn't have enough memory to test if it actually works, but maybe someone who does could give it a whirl and report on their experience?
You can try it in their demo chat app... | 2024-04-23T22:26:44 | https://www.reddit.com/r/LocalLLaMA/comments/1cbhyqq/you_can_now_run_llama_70b_in_your_web_browser_0_0/ | privacyparachute | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbhyqq | false | null | t3_1cbhyqq | /r/LocalLLaMA/comments/1cbhyqq/you_can_now_run_llama_70b_in_your_web_browser_0_0/ | false | false | self | 0 | null |
No avoiding langchain? | 10 | Hi all,
I've worked with langchain in the past prototyping simple RAG applications and it was a headache constantly fighting the APIs or trying to peel the abstractions using the confusing docs.
After that experience I ditched it and have done the RAG project just doing everything in raw python and calling the native... | 2024-04-23T22:21:15 | https://www.reddit.com/r/LocalLLaMA/comments/1cbhu0e/no_avoiding_langchain/ | rag_perplexity | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbhu0e | false | null | t3_1cbhu0e | /r/LocalLLaMA/comments/1cbhu0e/no_avoiding_langchain/ | false | false | self | 10 | null |
Instruction accuracy benchmark (12 models tested) | 91 | Hi everyone. I've created a new benchmark for myself to test model ability to follow instructions. Below are the results. I didn't expect gemma:7b to do so well. I included a few non open models for comparison purposes.
Full disclosure, I am not an expert. Just having fun. 70+ instruction focused questions per set, ra... | 2024-04-23T22:19:42 | https://www.reddit.com/r/LocalLLaMA/comments/1cbhsnc/instruction_accuracy_benchmark_12_models_tested/ | _Vedr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbhsnc | false | null | t3_1cbhsnc | /r/LocalLLaMA/comments/1cbhsnc/instruction_accuracy_benchmark_12_models_tested/ | false | false | self | 91 | null |
For macOS users compiling Kobold-1.63 only for it to generate gibberish... | 1 | For any mac users who've compiled Kobold-1.63 only for it to generate gibberish no matter which model you use, try compiling from the fork of Nexesenex instead. That one should work. Perhaps this is obvious information to most people but it's something I hadn't considered until a short while ago. | 2024-04-23T22:18:08 | https://www.reddit.com/r/LocalLLaMA/comments/1cbhra5/for_macos_users_compiling_kobold163_only_for_it/ | youandmeonetwothree | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbhra5 | false | null | t3_1cbhra5 | /r/LocalLLaMA/comments/1cbhra5/for_macos_users_compiling_kobold163_only_for_it/ | false | false | self | 1 | null |
New Model: Lexi Llama-3-8B-Uncensored | 161 | [Orenguteng/Lexi-Llama-3-8B-Uncensored](https://huggingface.co/Orenguteng/Lexi-Llama-3-8B-Uncensored)
This model is an uncensored version based on the Llama-3-8B-**Instruct** and has been tuned to be compliant and uncensored while preserving the instruct model knowledge and style as much as possible.
To make it un... | 2024-04-23T22:17:47 | https://www.reddit.com/r/LocalLLaMA/comments/1cbhqzk/new_model_lexi_llama38buncensored/ | Educational_Rent1059 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbhqzk | false | null | t3_1cbhqzk | /r/LocalLLaMA/comments/1cbhqzk/new_model_lexi_llama38buncensored/ | false | false | self | 161 | {'enabled': False, 'images': [{'id': 'pQxZyDdECnHnfiFVahd_SBKwhhLWz-lyev9ucMdeJv8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/rsFpZlgEMoaHLmapYF_V3xQmjvAQrepJlg4d8rWjXpw.jpg?width=108&crop=smart&auto=webp&s=a7ed1034daff290c2e9307e53bf9244abfe5a336', 'width': 108}, {'height': 116, 'url': 'h... |
Companies LLM benchmarks are inflated (Llama-3-8B vs Phi-3 Mini 4k) | 0 | 2024-04-23T22:13:46 | https://www.reddit.com/gallery/1cbhnhd | mw11n19 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1cbhnhd | false | null | t3_1cbhnhd | /r/LocalLLaMA/comments/1cbhnhd/companies_llm_benchmarks_are_inflated_llama38b_vs/ | false | false | 0 | null | ||
Ollama heavy quantisation | 3 | Hello
My machine (M1 Pro) has enough RAM to run this (https://ollama.com/library/llama3:8b-instruct-fp16) which I understand is floating point 16bit instead of the 4bit default. Is it much more accurate?
Why does Ollama default to such heavy quantisation? | 2024-04-23T22:10:16 | https://www.reddit.com/r/LocalLLaMA/comments/1cbhkjk/ollama_heavy_quantisation/ | john_alan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbhkjk | false | null | t3_1cbhkjk | /r/LocalLLaMA/comments/1cbhkjk/ollama_heavy_quantisation/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'krjt_5uhqcaDfYjfO7lkezThehav9cAIRJgcK-OKAmM', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/s0D7i4Rco0trWh9Bu1uEkgnoJJLA3UNKUA9vs57seII.jpg?width=108&crop=smart&auto=webp&s=53486800d92d75b19d59502534fa9ba2785c14b0', 'width': 108}, {'height': 113, 'url': 'h... |
I don’t agree with how LLMs are built… | 0 |
Relax, I love LLMs!
To an extent, but, something doesn’t feel right here…
When humans develop they start off with these implicit and very simple reasoning tools that are innate and generally applicable.
To get closer to that, LLMs should be pre-trained only on a dataset of generalized decomposed linguistic reas... | 2024-04-23T21:47:53 | https://www.reddit.com/r/LocalLLaMA/comments/1cbh0et/i_dont_agree_with_how_llms_are_built/ | Low_Cartoonist3599 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbh0et | false | null | t3_1cbh0et | /r/LocalLLaMA/comments/1cbh0et/i_dont_agree_with_how_llms_are_built/ | false | false | self | 0 | null |
How to clone myself based on years of a Whatsapp group conversation? | 24 | Hey. I would like to create a model fine-tuned to talk like me, and I would like to train it using a Whatsapp group conversation with multiple people.
I'm a web developer but this is my first time using LLM, so my searching skills might be lacking, but I tried to find some examples online on how to do that, and they a... | 2024-04-23T21:42:54 | https://www.reddit.com/r/LocalLLaMA/comments/1cbgvy7/how_to_clone_myself_based_on_years_of_a_whatsapp/ | blopaaa | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbgvy7 | false | null | t3_1cbgvy7 | /r/LocalLLaMA/comments/1cbgvy7/how_to_clone_myself_based_on_years_of_a_whatsapp/ | false | false | self | 24 | {'enabled': False, 'images': [{'id': 'uomBWyHBG-ZFBywnezxP_ftc826e45MYEQ6YpVPAbwU', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/i653jdGlDfQBPD1XfzEgeWlaPQOlbBHwVIe6gs3ngLk.jpg?width=108&crop=smart&auto=webp&s=63489029cc62a70380a2d8460f168f6e97cced35', 'width': 108}, {'height': 108, 'url': 'h... |
LLAMA 3 8B Instruct t it runs really slow | 1 | LLAMA 3 8B Instruct, I have i9 13980HX , 64GB RAm, and 4070 8GB laptop gpu. But it runs really slow. It takes 2 minutes to get a response.
How can ı fix that ?
MY CODE:
\`\`\`python
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
model\_id = "meta-llama/Meta-Llama-3-8B-Instruc... | 2024-04-23T21:35:37 | https://www.reddit.com/r/LocalLLaMA/comments/1cbgpcz/llama_3_8b_instruct_t_it_runs_really_slow/ | Hamzayslmn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbgpcz | false | null | t3_1cbgpcz | /r/LocalLLaMA/comments/1cbgpcz/llama_3_8b_instruct_t_it_runs_really_slow/ | false | false | self | 1 | null |
How to use OVModelForCasualLM (openvino conversion) | 1 | I'm trying to run this piece of code to generate an openvino model ([from huggingface](https://huggingface.co/docs/optimum/intel/inference)):
from optimum.intel import OVModelForCausalLM
model = OVModelForCausalLM.from_pretrained("meta-llama", export=True)
model.save_pretrained("openvino_model")
"meta-lla... | 2024-04-23T21:33:39 | https://www.reddit.com/r/LocalLLaMA/comments/1cbgnlk/how_to_use_ovmodelforcasuallm_openvino_conversion/ | Boppitied-Bop | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cbgnlk | false | null | t3_1cbgnlk | /r/LocalLLaMA/comments/1cbgnlk/how_to_use_ovmodelforcasuallm_openvino_conversion/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'A6mGWcTnFV9w-3-14a4l4GnR-RV6nE_zM0OOXGtZmJ8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/IgQqiX4uE_2xqmoHTCfkJqrIwIuzT-J2RL4R0yDfbbI.jpg?width=108&crop=smart&auto=webp&s=ec9535ce44c7bd59f82dc2df227b69f8f79d343b', 'width': 108}, {'height': 116, 'url': 'h... |
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