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Seeking recommendations for a Linux laptop that can handle Local LLM | 5 | My manager at my job (software development at a hospital) wants to explore AI to help my team explore design questions, and possibly write boilerplate code. I have limited experience with CoPilot, Continue Dev, and chatbots. I want to explore local LLMs since we have private HIPAA data and don't want to expose it onlin... | 2024-09-04T13:29:10 | https://www.reddit.com/r/LocalLLaMA/comments/1f8tcyy/seeking_recommendations_for_a_linux_laptop_that/ | NorinBlade | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8tcyy | false | null | t3_1f8tcyy | /r/LocalLLaMA/comments/1f8tcyy/seeking_recommendations_for_a_linux_laptop_that/ | false | false | self | 5 | null |
Model for local interview transcription | 4 | I am looking for this rather specific tool that lets users transcribe interviews, i.e. audio to text. The model should be able to distinguish two or more people and work in german and english. Does anything come to mind? | 2024-09-04T13:17:19 | https://www.reddit.com/r/LocalLLaMA/comments/1f8t39i/model_for_local_interview_transcription/ | rdrv | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8t39i | false | null | t3_1f8t39i | /r/LocalLLaMA/comments/1f8t39i/model_for_local_interview_transcription/ | false | false | self | 4 | null |
AMD vs NVIDIA GPUs | 1 | [removed] | 2024-09-04T12:58:47 | https://www.reddit.com/r/LocalLLaMA/comments/1f8so5c/amd_vs_nvidia_gpus/ | DeadlyHydra8630 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8so5c | false | null | t3_1f8so5c | /r/LocalLLaMA/comments/1f8so5c/amd_vs_nvidia_gpus/ | false | false | self | 1 | null |
Real life multilingual expanded named entity identification with different Llama 3.1 Turbo models | 9 | I hope this is of some interest for any of you guys.
I am trying to identify entitites in news articles written in Italian.
I am currently interested only in some classes, namely PERsons, LOCations and ORGanizations, even though as you will see in a moment I also need an OTHer class.
I am using Llama 3.1 Turbo and c... | 2024-09-04T12:48:27 | https://www.reddit.com/r/LocalLLaMA/comments/1f8sgc1/real_life_multilingual_expanded_named_entity/ | olddoglearnsnewtrick | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8sgc1 | false | null | t3_1f8sgc1 | /r/LocalLLaMA/comments/1f8sgc1/real_life_multilingual_expanded_named_entity/ | false | false | 9 | {'enabled': False, 'images': [{'id': 'KEKqZLXaDuojO8066WvfNm2knPNQpREJOqDRQbP0jOE', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/qjk8U15PVqk_QNAR85GDkE6bEzmE2vOAbbKeJark_ng.jpg?width=108&crop=smart&auto=webp&s=c4356a09ff651d99050d2e2f7c625136bd5cc50d', 'width': 108}, {'height': 113, 'url': 'h... | |
Vision Models for extracting Attributes | 1 | [removed] | 2024-09-04T12:30:37 | https://www.reddit.com/r/LocalLLaMA/comments/1f8s2pm/vision_models_for_extracting_attributes/ | Potential_Nature4974 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8s2pm | false | null | t3_1f8s2pm | /r/LocalLLaMA/comments/1f8s2pm/vision_models_for_extracting_attributes/ | false | false | self | 1 | null |
GPT Next (100x powerful) coming in 2024 | 0 | From KDDE summit
GPT next 100x more powerful. Coming in 2024.
https://www.itmedia.co.jp/aiplus/spv/2409/03/news165.html
Someone posted this in another forum.
| 2024-09-04T12:24:38 | appakaradi | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1f8ry6q | false | null | t3_1f8ry6q | /r/LocalLLaMA/comments/1f8ry6q/gpt_next_100x_powerful_coming_in_2024/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'OjJVrxaEiwmyw9n21EDwKUKLJoyHz_ItsWYOGSdkuqk', 'resolutions': [{'height': 52, 'url': 'https://preview.redd.it/a0hem0qocsmd1.jpeg?width=108&crop=smart&auto=webp&s=66abb2cdf246e9f4505e134f2ab3c8c7035c62c1', 'width': 108}, {'height': 104, 'url': 'https://preview.redd.it/a0hem0qocsmd1.jp... | ||
Scientifically proving the efficiency of chunking strategy, LLM hyperparameters (temp, top p, context length), and prompt template? | 1 | [removed] | 2024-09-04T12:19:39 | https://www.reddit.com/r/LocalLLaMA/comments/1f8rudw/scientifically_proving_the_efficiency_of_chunking/ | Different_Star9899 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8rudw | false | null | t3_1f8rudw | /r/LocalLLaMA/comments/1f8rudw/scientifically_proving_the_efficiency_of_chunking/ | false | false | self | 1 | null |
Scientifically proving the efficiency of chunking strategy, LLM hyperparameters (temp, top p, context length), and prompt template? | 1 | [removed] | 2024-09-04T12:17:04 | https://www.reddit.com/r/LocalLLaMA/comments/1f8rsfv/scientifically_proving_the_efficiency_of_chunking/ | Different_Star9899 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8rsfv | false | null | t3_1f8rsfv | /r/LocalLLaMA/comments/1f8rsfv/scientifically_proving_the_efficiency_of_chunking/ | false | false | self | 1 | null |
How you should choose a way to run LLAMA3.1 locally for your task? | 4 | Hi everybody,
I looked for quite some time at which way to test llama locally against open AI for role-playing response. I read through this but there dont seem to be a conclusion after reading this [review of 10 ways to run LLMs locally: r/LocalLLaMA (reddit.com)](https://www.reddit.com/r/LocalLLaMA/comments/1am0p48... | 2024-09-04T11:57:06 | https://www.reddit.com/r/LocalLLaMA/comments/1f8re04/how_you_should_choose_a_way_to_run_llama31/ | SomeRandomGuuuuuuy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8re04 | false | null | t3_1f8re04 | /r/LocalLLaMA/comments/1f8re04/how_you_should_choose_a_way_to_run_llama31/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': '3qivJmYjDDfuXpn83meB8rQH7MtE5tZNXtLOyFVVhuk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/pu9rTQDy5iYG370s8VfQnCBFjMgtFjiRFcJ4bs-J5ys.jpg?width=108&crop=smart&auto=webp&s=9b7492969e0ce5b8b14c350202157f92b5cdc319', 'width': 108}, {'height': 108, 'url': 'h... |
CPU + RAM for 33B models | 13 | My goal is to run 33B (q4) models and serve these to 4-6 family members as power efficient as possible.
My current server setup includes an AMD Athlon 3000G with 16GB RAM at 2666Mhz without a GPU (due to power efficiency). This would not be enough to run a 33B model so I'm planning to upgrade to a Ryzen 8700G with 64G... | 2024-09-04T11:12:27 | https://www.reddit.com/r/LocalLLaMA/comments/1f8qkjw/cpu_ram_for_33b_models/ | phantomate | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8qkjw | false | null | t3_1f8qkjw | /r/LocalLLaMA/comments/1f8qkjw/cpu_ram_for_33b_models/ | false | false | self | 13 | null |
GUI for Document Question Answering models | 4 | To people with knowledge about running "Document Question Answering" models:
What kind of app you use as gui and how do you feed the model with documents you want?
I use LM studio to run my models but that doesn't have the option to import documents.
Thanks in advance :) | 2024-09-04T11:10:07 | https://www.reddit.com/r/LocalLLaMA/comments/1f8qj38/gui_for_document_question_answering_models/ | Vectorsimp | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8qj38 | false | null | t3_1f8qj38 | /r/LocalLLaMA/comments/1f8qj38/gui_for_document_question_answering_models/ | false | false | self | 4 | null |
I need help building a 96 GB VRAM setup
| 1 | [removed] | 2024-09-04T10:54:51 | https://www.reddit.com/r/LocalLLaMA/comments/1f8q9hu/i_need_help_building_a_96_gb_vram_setup/ | emrecengdev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8q9hu | false | null | t3_1f8q9hu | /r/LocalLLaMA/comments/1f8q9hu/i_need_help_building_a_96_gb_vram_setup/ | false | false | self | 1 | null |
I need help building a 96 GB VRAM setup | 1 | [removed] | 2024-09-04T10:52:01 | https://www.reddit.com/r/LocalLLaMA/comments/1f8q7ui/i_need_help_building_a_96_gb_vram_setup/ | No_Pudding_2342 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8q7ui | false | null | t3_1f8q7ui | /r/LocalLLaMA/comments/1f8q7ui/i_need_help_building_a_96_gb_vram_setup/ | false | false | self | 1 | null |
Insights needed on efficient LLM deployment strategies for LLaMA 3 70B | 1 | [removed] | 2024-09-04T10:32:23 | https://www.reddit.com/r/LocalLLaMA/comments/1f8pwn0/insights_needed_on_efficient_llm_deployment/ | AnonymGecko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8pwn0 | false | null | t3_1f8pwn0 | /r/LocalLLaMA/comments/1f8pwn0/insights_needed_on_efficient_llm_deployment/ | false | false | self | 1 | null |
Need some help with local LLM deployment | 1 | [removed] | 2024-09-04T10:28:58 | https://www.reddit.com/r/LocalLLaMA/comments/1f8puli/need_some_help_with_local_llm_deployment/ | PTata123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8puli | false | null | t3_1f8puli | /r/LocalLLaMA/comments/1f8puli/need_some_help_with_local_llm_deployment/ | false | false | self | 1 | null |
Need help with Local LLM Deployment | 1 | [removed] | 2024-09-04T10:25:46 | https://www.reddit.com/r/LocalLLaMA/comments/1f8pstm/need_help_with_local_llm_deployment/ | AnonymGecko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8pstm | false | null | t3_1f8pstm | /r/LocalLLaMA/comments/1f8pstm/need_help_with_local_llm_deployment/ | false | false | self | 1 | null |
Just too many models. I really don't know which ones to choose | 80 | I need some advice, how do you decide which models are the best? I'm thinking of setup where I swap out models for specific task or do I choose the biggest model and go with it?
I'm looking for programming and code completion models. Programming as in those that understand the problem being asked and in terms of code... | 2024-09-04T10:20:22 | https://www.reddit.com/r/LocalLLaMA/comments/1f8pptr/just_too_many_models_i_really_dont_know_which/ | RelationshipNeat6468 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8pptr | false | null | t3_1f8pptr | /r/LocalLLaMA/comments/1f8pptr/just_too_many_models_i_really_dont_know_which/ | false | false | self | 80 | null |
LLM generated textbook on LLM fine tuning | 0 | LLM generated textbook on LLM fine tuning
[https://github.com/EdwardDali/textbooks/blob/main/textbooks/llm\_fine-tunning\_improved\_textbook.txt](https://github.com/EdwardDali/textbooks/blob/main/textbooks/llm_fine-tunning_improved_textbook.txt) | 2024-09-04T10:18:25 | https://www.reddit.com/r/LocalLLaMA/comments/1f8pooi/llm_generated_textbook_on_llm_fine_tuning/ | Eduard_T | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8pooi | false | null | t3_1f8pooi | /r/LocalLLaMA/comments/1f8pooi/llm_generated_textbook_on_llm_fine_tuning/ | false | false | self | 0 | {'enabled': False, 'images': [{'id': 'aFVrc1gZxcP7ved-K9jGBe8vZMetcbjXUUQO2iF2qVQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/YbsGQO2W3Dp-a2QmecTVouhMoYGHJshb9ctRr4aoAJA.jpg?width=108&crop=smart&auto=webp&s=455e2a4abadd8339a3b085d6ecfb2e5d81163e3f', 'width': 108}, {'height': 108, 'url': 'h... |
Overwhelmed and don't know what to choose | 1 | [removed] | 2024-09-04T10:14:26 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1f8pmf8 | false | null | t3_1f8pmf8 | /r/LocalLLaMA/comments/1f8pmf8/overwhelmed_and_dont_know_what_to_choose/ | false | false | default | 1 | null | ||
New european foundation model should launch in september (GPTX) | 74 | Hey currently on an ai conference and the frauenhofer just dropped that GPTX (might be renamed) which is european data law conplient. Will release and it should top the european language benchmark Charts. Proabaly not top for programming.
It will be completly open source apache license.
So if you work with european ... | 2024-09-04T10:05:00 | https://www.reddit.com/r/LocalLLaMA/comments/1f8ph65/new_european_foundation_model_should_launch_in/ | Noxusequal | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8ph65 | false | null | t3_1f8ph65 | /r/LocalLLaMA/comments/1f8ph65/new_european_foundation_model_should_launch_in/ | false | false | self | 74 | null |
Vscode LLM extension continue downloads Chromium.app without user consent | 36 | Popular (15k stars on github) open source VSCODE extension continue **silently** and **without user consent** [downloads "Chromium.app"](https://github.com/continuedev/continue/issues/2166) for [**doc crawling**](https://github.com/continuedev/continue/pull/2165)**??**
Am I only one who finds this disturbing? Open so... | 2024-09-04T09:13:51 | https://www.reddit.com/r/LocalLLaMA/comments/1f8oqtm/vscode_llm_extension_continue_downloads/ | martincerven | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8oqtm | false | null | t3_1f8oqtm | /r/LocalLLaMA/comments/1f8oqtm/vscode_llm_extension_continue_downloads/ | false | false | self | 36 | {'enabled': False, 'images': [{'id': 'g6qRayW1Z_Zty23RArtlxdhPQTzED2oXUXgFC-Qxt2o', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/dMyoLAlmwjr57lkCarfLQAXcr8fxQo1_-YT-cvav9XY.jpg?width=108&crop=smart&auto=webp&s=3478342e855c08b6c2cd74b19bfe30e36729449b', 'width': 108}, {'height': 108, 'url': 'h... |
Desert Island LLMs | 8 | So last weekend, I went to the mountains and took my laptop to do some work in the evenings. In the end, there was no work done as to my surprise, there was no internet at the hotel and no mobile signal either.
I didn't git pull before leaving, so had none of my code with me.
But it got me to thinking. If you just ha... | 2024-09-04T08:56:05 | https://www.reddit.com/r/LocalLLaMA/comments/1f8ohuj/desert_island_llms/ | DeltaSqueezer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8ohuj | false | null | t3_1f8ohuj | /r/LocalLLaMA/comments/1f8ohuj/desert_island_llms/ | false | false | self | 8 | null |
How do llms understand tasks? | 1 | [removed] | 2024-09-04T08:34:29 | https://www.reddit.com/r/LocalLLaMA/comments/1f8o6yq/how_do_llms_understand_tasks/ | Silver_Equivalent_58 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8o6yq | false | null | t3_1f8o6yq | /r/LocalLLaMA/comments/1f8o6yq/how_do_llms_understand_tasks/ | false | false | self | 1 | null |
Nemo Agent - Python AI Coder! | 2 | Hi All - I am launching Nemo Agent an open-source Python AI coder! It creates a full application from a prompt. I have tested with leetcode, streamlit, flask, fastapi, and tkinter. Nemo Agent supports mistral-nemo (Ollama) and OpenAI. I would love to get your feedback about the concept, implementation, and use cases! T... | 2024-09-04T08:28:55 | https://www.reddit.com/r/LocalLLaMA/comments/1f8o414/nemo_agent_python_ai_coder/ | komdod | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8o414 | false | null | t3_1f8o414 | /r/LocalLLaMA/comments/1f8o414/nemo_agent_python_ai_coder/ | false | false | self | 2 | null |
Industry Foundation, Case-specific LLMs, what is your experiuence? | 2 | I have been looking into specialized models for different tasks, for example PDF table extraction and industrial data analysis.
What is your experience with task-tuned models? Have you found them significantly more useful than generalized LLMs or not worth the effort?
An example of an interesting model is the Industr... | 2024-09-04T08:23:45 | https://www.reddit.com/r/LocalLLaMA/comments/1f8o1ja/industry_foundation_casespecific_llms_what_is/ | Fun-Aardvark-1143 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8o1ja | false | null | t3_1f8o1ja | /r/LocalLLaMA/comments/1f8o1ja/industry_foundation_casespecific_llms_what_is/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': '9TfwH_zijd44wYbNJ6_Fon1-dXP339L8Bf8BXwGoqWU', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/N1QEazrAjxUEFgZbQk3lhkW4bi09ZezEwiFbgcXuvBE.jpg?width=108&crop=smart&auto=webp&s=95444df248e1c78bc887fb0b772248b938993f90', 'width': 108}, {'height': 116, 'url': 'h... |
Best strategy to train an LLM to talk like somebody? | 1 | [removed] | 2024-09-04T07:41:27 | https://www.reddit.com/r/LocalLLaMA/comments/1f8ngva/best_strategy_to_train_an_llm_to_talk_like/ | lormayna | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8ngva | false | null | t3_1f8ngva | /r/LocalLLaMA/comments/1f8ngva/best_strategy_to_train_an_llm_to_talk_like/ | false | false | self | 1 | null |
Which 70B Model Are You Currently Using For Creative Writing/RP? | 1 | [removed] | 2024-09-04T07:20:48 | https://www.reddit.com/r/LocalLLaMA/comments/1f8n6t1/which_70b_model_are_you_currently_using_for/ | HvskyAI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8n6t1 | false | null | t3_1f8n6t1 | /r/LocalLLaMA/comments/1f8n6t1/which_70b_model_are_you_currently_using_for/ | false | false | self | 1 | null |
How to fine-tune llama 3.1 8B-Instruct on my dataset. | 1 | [removed] | 2024-09-04T06:56:14 | https://www.reddit.com/r/LocalLLaMA/comments/1f8muqw/how_to_finetune_llama_31_8binstruct_on_my_dataset/ | zhamankhan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8muqw | false | null | t3_1f8muqw | /r/LocalLLaMA/comments/1f8muqw/how_to_finetune_llama_31_8binstruct_on_my_dataset/ | false | false | self | 1 | null |
How can I get the answer based on the previous chat history in llama.cpp? | 1 | [removed] | 2024-09-04T06:35:31 | https://www.reddit.com/r/LocalLLaMA/comments/1f8mkfo/how_can_i_get_the_answer_based_on_the_previous/ | Other_Association474 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8mkfo | false | null | t3_1f8mkfo | /r/LocalLLaMA/comments/1f8mkfo/how_can_i_get_the_answer_based_on_the_previous/ | false | false | self | 1 | null |
Optimizing for long prompts? | 2 | Most resources I find for model inference are based on fair short sequence lengths.
I run a [site](https://tryspellbound.com) that relies on anywhere from 5k to 10k input tokens per inference, compared to 300-600 output tokens, and I'm trying to test a Llama 3.1 70b finetune: To start I just want to serve 10 concurren... | 2024-09-04T06:15:53 | https://www.reddit.com/r/LocalLLaMA/comments/1f8makf/optimizing_for_long_prompts/ | NewToMech | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8makf | false | null | t3_1f8makf | /r/LocalLLaMA/comments/1f8makf/optimizing_for_long_prompts/ | false | false | self | 2 | null |
Long prompt inference? | 1 | [removed] | 2024-09-04T06:15:00 | https://www.reddit.com/r/LocalLLaMA/comments/1f8ma3a/long_prompt_inference/ | spellbound_app | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8ma3a | false | null | t3_1f8ma3a | /r/LocalLLaMA/comments/1f8ma3a/long_prompt_inference/ | false | false | self | 1 | null |
OLMoE - a fully open source sparse MoE with only 1 billion active parameters | 288 | >We introduce OLMoE, a fully open, state-of-the-art language model leveraging sparse Mixture-of-Experts (MoE). OLMoE-1B-7B has 7 billion (B) parameters but uses only 1B per input token. We pretrain it on 5 trillion tokens and further adapt it to create OLMoE-1B-7B-Instruct. Our models outperform all available models wi... | 2024-09-04T05:19:20 | https://www.reddit.com/r/LocalLLaMA/comments/1f8lfb7/olmoe_a_fully_open_source_sparse_moe_with_only_1/ | Aaaaaaaaaeeeee | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8lfb7 | false | null | t3_1f8lfb7 | /r/LocalLLaMA/comments/1f8lfb7/olmoe_a_fully_open_source_sparse_moe_with_only_1/ | false | false | self | 288 | {'enabled': False, 'images': [{'id': 'g5aOZ8YX7Bi7T_jiYLfdVp3YhhpUWHpkEKxYLnOyUeI', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/24hFRFRYR_tJRUHtXBf9ELPx1sWWjnag4eO9k2kuy08.jpg?width=108&crop=smart&auto=webp&s=aa0f497970a20f93b1a1252a6bafabf7cc968a3a', 'width': 108}, {'height': 116, 'url': 'h... |
You can roleplay on iOS w/ local LLMS | 0 | Yap AI is an app on the iOS appstore that lets you use LLMs for chatting w characters. Works on ipad and mac too. | 2024-09-04T04:22:33 | https://v.redd.it/pmcziyvnypmd1 | unluckybusinessowner | v.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1f8kgq3 | false | {'reddit_video': {'bitrate_kbps': 2400, 'dash_url': 'https://v.redd.it/pmcziyvnypmd1/DASHPlaylist.mpd?a=1728015765%2CMTBlMTk1ODZkM2FhOGNlOGY0MWU0NDkxZjcwMDAwMTQ5NjU0MmRhZDFhZDk1NTBmMmQyY2YxOGYwOTIwMTY0ZQ%3D%3D&v=1&f=sd', 'duration': 34, 'fallback_url': 'https://v.redd.it/pmcziyvnypmd1/DASH_720.mp4?source=fallback', 'ha... | t3_1f8kgq3 | /r/LocalLLaMA/comments/1f8kgq3/you_can_roleplay_on_ios_w_local_llms/ | false | false | 0 | {'enabled': False, 'images': [{'id': 'YjNmbGExc255cG1kMWWjeO1zq6SnkwcMs6g9_g-jqGUb1uKk4XW-M7WMaD1X', 'resolutions': [{'height': 216, 'url': 'https://external-preview.redd.it/YjNmbGExc255cG1kMWWjeO1zq6SnkwcMs6g9_g-jqGUb1uKk4XW-M7WMaD1X.png?width=108&crop=smart&format=pjpg&auto=webp&s=34eb77a93b4ebbee01d65b8d17598cad4d33... | |
New SFW/NSFW fiction model released: Aeonis-20b | 1 | [removed] | 2024-09-04T04:17:59 | https://www.reddit.com/r/LocalLLaMA/comments/1f8kdrt/new_sfwnsfw_fiction_model_released_aeonis20b/ | athirdpath | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8kdrt | false | null | t3_1f8kdrt | /r/LocalLLaMA/comments/1f8kdrt/new_sfwnsfw_fiction_model_released_aeonis20b/ | false | false | nsfw | 1 | {'enabled': False, 'images': [{'id': 'tiX4nTnEBq9X8axDXeFNT6KBP-Z2rQr8GzKf8b79eow', 'resolutions': [{'height': 188, 'url': 'https://external-preview.redd.it/yejYvZsBpskT4s1WcRVdyW8tbBlbG_7gCuxZdXTR0qI.png?width=108&crop=smart&auto=webp&s=5c1b3ed626927a731e1b0086fc9670bd2ee45baf', 'width': 108}, {'height': 376, 'url': '... |
gemma 2 from scratch | 1 | [removed] | 2024-09-04T04:03:24 | https://www.reddit.com/r/LocalLLaMA/comments/1f8k4hb/gemma_2_from_scratch/ | DLExplorers | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8k4hb | false | null | t3_1f8k4hb | /r/LocalLLaMA/comments/1f8k4hb/gemma_2_from_scratch/ | false | false | self | 1 | null |
Gemma 2 from scratch using numpy | 1 | [removed] | 2024-09-04T04:02:54 | https://www.reddit.com/r/LocalLLaMA/comments/1f8k45l/gemma_2_from_scratch_using_numpy/ | DLExplorers | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8k45l | false | null | t3_1f8k45l | /r/LocalLLaMA/comments/1f8k45l/gemma_2_from_scratch_using_numpy/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'tOBS9ifjk5bbGRoSGf9kShCc-0lQqE0WH5_9wAvDQzY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ToLkJ5Fk61iIZNQk2AltaqsFJLbs4DdGRdbNiLAzDrA.jpg?width=108&crop=smart&auto=webp&s=fb674782004b720cec35f31e1d2b388592371ec8', 'width': 108}, {'height': 108, 'url': 'h... |
Gemma 2 from scratch in numpy and cupy | 1 | [removed] | 2024-09-04T04:01:40 | https://www.reddit.com/r/LocalLLaMA/comments/1f8k39l/gemma_2_from_scratch_in_numpy_and_cupy/ | DLExplorers | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8k39l | false | null | t3_1f8k39l | /r/LocalLLaMA/comments/1f8k39l/gemma_2_from_scratch_in_numpy_and_cupy/ | false | false | self | 1 | null |
ArliAI/ArliAI-RPMax-Phi-3.8B-v1.1-GGUF · Hugging Face | 1 | 2024-09-04T02:28:44 | https://huggingface.co/ArliAI/ArliAI-RPMax-Phi-3.8B-v1.1-GGUF | nero10578 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1f8iacz | false | null | t3_1f8iacz | /r/LocalLLaMA/comments/1f8iacz/arliaiarliairpmaxphi38bv11gguf_hugging_face/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'cX_DWZNnuRJR08AsfMN7oNkCArGNydYS5oIxMJIOBjA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/p0f9QLHy0Sg9MZ83zszjKR5oCwFy4feJTUDzcYAVWx4.jpg?width=108&crop=smart&auto=webp&s=9199363e1e2c9fd2c8a9fa88f920656f1983bab2', 'width': 108}, {'height': 116, 'url': 'h... | ||
Self-hosted web UI for multi-user access to various AI models (OpenAI, Anthropic, etc.) with usage tracking and pay-as-you-go pricing - Does such a solution exist? | 2 | I'm looking to set up a web UI that allows multiple friends to access different AI models, such as OpenAI, Anthropic, and maybe some coding models. The catch is that I need to track their usage and charge them on a pay-as-you-go basis. The usage is relatively low, with each user's monthly costs not exceeding $10.
I've... | 2024-09-04T02:25:57 | https://www.reddit.com/r/LocalLLaMA/comments/1f8i8au/selfhosted_web_ui_for_multiuser_access_to_various/ | soomrevised | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8i8au | false | null | t3_1f8i8au | /r/LocalLLaMA/comments/1f8i8au/selfhosted_web_ui_for_multiuser_access_to_various/ | false | false | self | 2 | null |
Calling all LLaMA users! | 1 | [removed] | 2024-09-04T01:48:10 | https://www.reddit.com/r/LocalLLaMA/comments/1f8hgba/calling_all_llama_users/ | Current-Gene6403 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8hgba | false | null | t3_1f8hgba | /r/LocalLLaMA/comments/1f8hgba/calling_all_llama_users/ | false | false | self | 1 | null |
Claude-Dev Now With Local LLM support! (Ollama, OpenAI Compatible Servers) | 93 | I know there are many of us that have been looking forward to this addition to claude-dev. Go check it out!
[https://github.com/saoudrizwan/claude-dev/releases/tag/v1.5.19](https://github.com/saoudrizwan/claude-dev/releases/tag/v1.5.19) | 2024-09-04T01:47:39 | https://www.reddit.com/r/LocalLLaMA/comments/1f8hfyh/claudedev_now_with_local_llm_support_ollama/ | nite2k | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8hfyh | false | null | t3_1f8hfyh | /r/LocalLLaMA/comments/1f8hfyh/claudedev_now_with_local_llm_support_ollama/ | false | false | self | 93 | {'enabled': False, 'images': [{'id': 'd3-JLU8l9q0QlQ8_g-Fu4FkJdurKwgzcH6JiH7XlWBk', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/IhGq2KMzV09XWPIR3JeAWHTlYmESh7nMxNp2bCpdSgk.jpg?width=108&crop=smart&auto=webp&s=9749bac9ae5285381a3025c8b732dfc8e1f9cf53', 'width': 108}, {'height': 108, 'url': 'h... |
Wrote a minimal movie recommendation assistant with RAG and Llama | 23 | To showcase the usage of RAG and LLMs, I wrote a movie recommendation assistant with minimal dependencies and a few lines of code using Faiss, SBERT, and transformers. Tested with Llama3.1-8B-Instruct and works decently well.
Check it out and feel free to change the code to use it on other data besides movies. Repo: ... | 2024-09-04T01:06:57 | https://www.reddit.com/r/LocalLLaMA/comments/1f8glkx/wrote_a_minimal_movie_recommendation_assistant/ | SammyDaBeast | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8glkx | false | null | t3_1f8glkx | /r/LocalLLaMA/comments/1f8glkx/wrote_a_minimal_movie_recommendation_assistant/ | false | false | 23 | {'enabled': False, 'images': [{'id': 'L7SDWlBDApYKnRwWgLU1_CWj7PXr9fTGPGFzJxjkwE4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/HaoqDL2Yq3naLH9K00Xooa7KUngfB6r0dmVfPCgUvYs.jpg?width=108&crop=smart&auto=webp&s=a84ec1e34dd83eaefb12d53ea6791ab39ed5f2d3', 'width': 108}, {'height': 108, 'url': 'h... | |
LLM Jailbreaking Contest on Saturday | 0 | 2024-09-04T00:42:20 | https://app.grayswan.ai/arena | grayswan1 | app.grayswan.ai | 1970-01-01T00:00:00 | 0 | {} | 1f8g28v | false | null | t3_1f8g28v | /r/LocalLLaMA/comments/1f8g28v/llm_jailbreaking_contest_on_saturday/ | false | false | default | 0 | null | |
Lecture 28: Liger Kernel - Efficient Triton Kernels for LLM Training | 9 | 2024-09-03T23:51:10 | https://www.youtube.com/watch?v=gWble4FreV4 | tevlon | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1f8exey | false | {'oembed': {'author_name': 'CUDA MODE', 'author_url': 'https://www.youtube.com/@CUDAMODE', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/gWble4FreV4?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; pi... | t3_1f8exey | /r/LocalLLaMA/comments/1f8exey/lecture_28_liger_kernel_efficient_triton_kernels/ | false | false | 9 | {'enabled': False, 'images': [{'id': 'TPWFuk4fUWY4qGit9SXdPNA7EjEBtdZWFLzBq2nrwu4', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/U8wcdw5OlyE3aaX7cNsEVyA8HAyFQqI7sf481njYNOM.jpg?width=108&crop=smart&auto=webp&s=ded531acc764a3863134e73ccba738af42546b2b', 'width': 108}, {'height': 162, 'url': 'h... | ||
What requirements hardware wise do I need to run Llama 3 70B? | 0 | I know that this question has been done several times but please bare with me. My end goal is to fine tune Llama 3 70B on cloud with my own dataset but then later I need to host it. Practically I’m not aware on a good cloud based host for Llama 70B. Money is important but can be arranged. Another idea is to run a model... | 2024-09-03T22:43:14 | https://www.reddit.com/r/LocalLLaMA/comments/1f8diux/what_requirements_hardware_wise_do_i_need_to_run/ | thecowmilk_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8diux | false | null | t3_1f8diux | /r/LocalLLaMA/comments/1f8diux/what_requirements_hardware_wise_do_i_need_to_run/ | false | false | self | 0 | null |
Minecraft Multimodal LLM Integration | 1 | [removed] | 2024-09-03T22:27:35 | https://www.reddit.com/r/LocalLLaMA/comments/1f8dat7/minecraft_multimodal_llm_integration/ | OBinJaw | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8dat7 | false | null | t3_1f8dat7 | /r/LocalLLaMA/comments/1f8dat7/minecraft_multimodal_llm_integration/ | false | false | 1 | {'enabled': False, 'images': [{'id': '0fC2I6tiA385M14GMk5alPXt1aCtIKFYyJzkjnqm6CI', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/4VBpWcnLz1NBPzGaAdCCE36SuqSfqB9ysEO8ODwAljs.jpg?width=108&crop=smart&auto=webp&s=830f5b5d483489b561a8944ea8d9158d49d69b19', 'width': 108}, {'height': 116, 'url': 'h... | |
The llama3.1 models can very easily be made completely uncensored -- is this a known thing? | 2 | When I downloaded the llama3.1-8b-instruct weights (fp16) directly from Meta and manually imported them into ollama, I noticed that it was behaving like a base model and would continue the input text with absolutely zero censorship
I wanted to see what the uncensored 405b model was like, so I tried the same thing via ... | 2024-09-03T21:45:59 | https://www.reddit.com/r/LocalLLaMA/comments/1f8cb5m/the_llama31_models_can_very_easily_be_made/ | anatolybazarov | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8cb5m | false | null | t3_1f8cb5m | /r/LocalLLaMA/comments/1f8cb5m/the_llama31_models_can_very_easily_be_made/ | false | false | self | 2 | null |
Would it be better to use RAM instead of VRAM or just give up? | 6 | Unfortunately, my new toy (laptop) only has 4GB of VRAM, and I will be stuck with it for a few years. The good news though, it has great RAM that can be upgraded later on (currently 24 GB).
I do want to run local models (mostly for tavernai) and the agreed-upon minimum VRAM to have a good experience is 6GB. And since ... | 2024-09-03T21:03:23 | https://www.reddit.com/r/LocalLLaMA/comments/1f8b9nu/would_it_be_better_to_use_ram_instead_of_vram_or/ | DancingPotato30 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8b9nu | false | null | t3_1f8b9nu | /r/LocalLLaMA/comments/1f8b9nu/would_it_be_better_to_use_ram_instead_of_vram_or/ | false | false | self | 6 | null |
Common Python virtual environment for AI programs | 1 | [removed] | 2024-09-03T21:03:11 | https://www.reddit.com/r/LocalLLaMA/comments/1f8b9gv/common_python_virtual_environment_for_ai_programs/ | catzilla_06790 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8b9gv | false | null | t3_1f8b9gv | /r/LocalLLaMA/comments/1f8b9gv/common_python_virtual_environment_for_ai_programs/ | false | false | self | 1 | null |
Llama3 in AWS | 1 | [removed] | 2024-09-03T20:48:38 | https://www.reddit.com/r/LocalLLaMA/comments/1f8awau/llama3_in_aws/ | ClothesAgreeable5572 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8awau | false | null | t3_1f8awau | /r/LocalLLaMA/comments/1f8awau/llama3_in_aws/ | false | false | self | 1 | null |
So ... P40's are no longer cheap. What is the best "bang for buck" accelerator available to us peasants now? | 69 | Also curious, how long will Compute 6.1 be useful to us for? Should we be targeting 7.0 and above now? | 2024-09-03T20:43:30 | https://www.reddit.com/r/LocalLLaMA/comments/1f8artm/so_p40s_are_no_longer_cheap_what_is_the_best_bang/ | wh33t | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8artm | false | null | t3_1f8artm | /r/LocalLLaMA/comments/1f8artm/so_p40s_are_no_longer_cheap_what_is_the_best_bang/ | false | false | self | 69 | null |
General Purpose Model around 30GB | 0 | I’m looking for a good general purpose model at around 30GB load in memory, I’ve been using llama3.1:8b-instruct-q8_0 which give results and is fast but because I have additional/spare vram is there any of better quality? | 2024-09-03T20:35:01 | https://www.reddit.com/r/LocalLLaMA/comments/1f8akee/general_purpose_model_around_30gb/ | Rooneybuk | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8akee | false | null | t3_1f8akee | /r/LocalLLaMA/comments/1f8akee/general_purpose_model_around_30gb/ | false | false | self | 0 | null |
What happened to gdisney? | 3 | Really enjoyed his models. When looking for updates or new finetunes i saw, that his complete collection is gone on huggingface.
Anyone knows if he switched platforms? Google couldnt help me with this one.
[https://huggingface.co/gdisney](https://huggingface.co/gdisney) | 2024-09-03T20:06:35 | https://www.reddit.com/r/LocalLLaMA/comments/1f89v72/what_happened_to_gdisney/ | Highcon1337 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f89v72 | false | null | t3_1f89v72 | /r/LocalLLaMA/comments/1f89v72/what_happened_to_gdisney/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': '6Tw3GAjnGTlLWLDOziEwm4qR_VhHIUuPq-QPHmL8sXQ', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/7Lv3SAyoBpgUZbnc0yy4EqOkGgUC92bhjmJj6h_pyfE.jpg?width=108&crop=smart&auto=webp&s=9ba3f1c555f639de29ec975e38f320ae4bd77925', 'width': 108}, {'height': 116, 'url': 'h... |
GPU board to run local models | 1 | [removed] | 2024-09-03T19:58:39 | https://www.reddit.com/r/LocalLLaMA/comments/1f89nrs/gpu_board_to_run_local_models/ | 888surf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f89nrs | false | null | t3_1f89nrs | /r/LocalLLaMA/comments/1f89nrs/gpu_board_to_run_local_models/ | false | false | self | 1 | null |
Can someone clear off my confusion about this new AI legislation? | 1 | So there is this new bill in California [SB 1047 ](https://leginfo.legislature.ca.gov/faces/billTextClient.xhtml?bill_id=202320240SB1047)that's just passed the assembly and it has some technical provisions that I want to be clear on.
>(e) (1) “Covered model” means either of the following:
>(A) Before January 1, 2027,... | 2024-09-03T19:52:07 | https://www.reddit.com/r/LocalLLaMA/comments/1f89i12/can_someone_clear_off_my_confusion_about_this_new/ | holamifuturo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f89i12 | false | null | t3_1f89i12 | /r/LocalLLaMA/comments/1f89i12/can_someone_clear_off_my_confusion_about_this_new/ | false | false | self | 1 | null |
Is sampling a bandaid? | 15 | A disclaimer: I'm still somewhat of a layman when it comes to LLMs. As I'm a software developer, my friends sometimes ask me to explain how that "AI" really works.
When explaining LLMs to a layman, the "Chinese room" analogy seems to work quite well (although philosophers are arguing what "understanding" really means,... | 2024-09-03T19:46:20 | https://www.reddit.com/r/LocalLLaMA/comments/1f89cz5/is_sampling_a_bandaid/ | martinerous | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f89cz5 | false | null | t3_1f89cz5 | /r/LocalLLaMA/comments/1f89cz5/is_sampling_a_bandaid/ | false | false | self | 15 | null |
Is Oobabooga still the best chat UI? | 38 | I am looking for something to run the Nemo models with | 2024-09-03T19:43:42 | https://www.reddit.com/r/LocalLLaMA/comments/1f89and/is_oobabooga_still_the_best_chat_ui/ | BackyardAnarchist | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f89and | false | null | t3_1f89and | /r/LocalLLaMA/comments/1f89and/is_oobabooga_still_the_best_chat_ui/ | false | false | self | 38 | null |
Step-based cascading prompts: deterministic signals from the LLM vibe space (and fully local!) | 19 | 2024-09-03T18:57:10 | https://shelbyjenkins.github.io/blog/cascade-prompt/ | JShelbyJ | shelbyjenkins.github.io | 1970-01-01T00:00:00 | 0 | {} | 1f883xf | false | null | t3_1f883xf | /r/LocalLLaMA/comments/1f883xf/stepbased_cascading_prompts_deterministic_signals/ | false | false | 19 | {'enabled': False, 'images': [{'id': '0CDlcSlf7rZruoGdvz3lqb_W4Pvx-rzYtG_MCSX9vIw', 'resolutions': [{'height': 82, 'url': 'https://external-preview.redd.it/_W-xhvEOYUD-zilwJehviMbrekF9aRYw4HhFedgKzGs.jpg?width=108&crop=smart&auto=webp&s=a225791e789e0d0a5b88a9a5584d3df6bbed0617', 'width': 108}, {'height': 165, 'url': 'h... | ||
Midnight miqu 70b is the best model, and unsurpassed. | 1 | [removed] | 2024-09-03T18:51:07 | https://www.reddit.com/r/LocalLLaMA/comments/1f87yad/midnight_miqu_70b_is_the_best_model_and/ | Linkpharm2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f87yad | false | null | t3_1f87yad | /r/LocalLLaMA/comments/1f87yad/midnight_miqu_70b_is_the_best_model_and/ | true | false | spoiler | 1 | null |
multi-GPU questions | 5 | I have some hopefully not too dumb questions to ask about running llms with multiple GPUs:
I have run a decent amount of stuff with my 3090ti and am really enjoying all of the ai things. Recently I had the opportunity to get a 2080ti for very cheap and thought it may be fun for a memory swap, so I got it. anyway...... | 2024-09-03T18:32:14 | https://www.reddit.com/r/LocalLLaMA/comments/1f87gxp/multigpu_questions/ | knahtthank | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f87gxp | false | null | t3_1f87gxp | /r/LocalLLaMA/comments/1f87gxp/multigpu_questions/ | false | false | self | 5 | null |
Need some help with setting up P40 at Windows | 1 | I have Windows 11 with RTX 3060 12GB as the first card and P40 as the second one
I already enabled the "Above 4G decoding" option in my bios, i tried uninstalling all the drivers, now i have installed nvidia 518.03 data center driver from nvidia official website, i did choose Tesla, P40, Cuda Toolkit 11.7 and downlo... | 2024-09-03T18:19:03 | https://www.reddit.com/r/LocalLLaMA/comments/1f874t1/need_some_help_with_setting_up_p40_at_windows/ | UpperParamedicDude | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f874t1 | false | null | t3_1f874t1 | /r/LocalLLaMA/comments/1f874t1/need_some_help_with_setting_up_p40_at_windows/ | false | false | self | 1 | null |
How to make the AI be intentionally manipulative without openly revealing it's manipulative. | 1 | [removed] | 2024-09-03T18:08:37 | https://www.reddit.com/r/LocalLLaMA/comments/1f86v3r/how_to_make_the_ai_be_intentionally_manipulative/ | JELSTUDIO | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f86v3r | false | null | t3_1f86v3r | /r/LocalLLaMA/comments/1f86v3r/how_to_make_the_ai_be_intentionally_manipulative/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '5DQO-VkQDwTIA2lOeBaYruvgN2eUJNOQnmbc0aQBmE0', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/AbBPe9Utlr3irImALUlw5-q1VcAzbFaMJJKlxz1jP4U.jpg?width=108&crop=smart&auto=webp&s=2ae6b11b2ad2b829fe1313181ce5fc5a801a3596', 'width': 108}, {'height': 162, 'url': 'h... |
What is the current go-to option to fine tune LLMs for agents? | 2 | I was playing with a set of self written agents for an experimental chatbot. Overall, they work good, thanks to the examples included in the prompts. But they tend to eat up a lot of tokens (about 1k per agent). That chatbot I am playing with is accurate, but eats up about 5k tokens per chat.
After some exploration,... | 2024-09-03T17:59:34 | https://www.reddit.com/r/LocalLLaMA/comments/1f86mn0/what_is_the_current_goto_option_to_fine_tune_llms/ | graphitout | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f86mn0 | false | null | t3_1f86mn0 | /r/LocalLLaMA/comments/1f86mn0/what_is_the_current_goto_option_to_fine_tune_llms/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'b1E8sI-kTet-3YOFKrYAUVQ9ABbay60W7WEBpTM34S8', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/sld18DTFrG0vgxxCwlYEGWKS7hjSXmQsKHgNjUEATAk.jpg?width=108&crop=smart&auto=webp&s=5f7d74321748816977c2c47d74607125fd510a17', 'width': 108}, {'height': 216, 'url': '... |
Honeycomb and Gru take top positions on SWE-Bench leaderboard | 52 | 2024-09-03T17:48:41 | https://www.reddit.com/gallery/1f86d11 | Balance- | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1f86d11 | false | null | t3_1f86d11 | /r/LocalLLaMA/comments/1f86d11/honeycomb_and_gru_take_top_positions_on_swebench/ | false | false | 52 | null | ||
Llama-cpp and llama3 - loop | 1 | [removed] | 2024-09-03T17:39:39 | https://www.reddit.com/r/LocalLLaMA/comments/1f864lt/llamacpp_and_llama3_loop/ | Brave_Koala1834 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f864lt | false | null | t3_1f864lt | /r/LocalLLaMA/comments/1f864lt/llamacpp_and_llama3_loop/ | false | false | self | 1 | null |
Deep document search with LLMs | 16 | Because sometimes ctl-F just doesn't cut it.
[Snorkle](https://github.com/JohnZolton/snorkle) lets you search documents with LLMs.
Enter a query, it splits all the documents into pages and sends each page through an LLM asking if the context is relevant to the query. Then it displays the quotes for you and li... | 2024-09-03T17:39:15 | https://www.reddit.com/r/LocalLLaMA/comments/1f86496/deep_document_search_with_llms/ | fractalcrust | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f86496 | false | null | t3_1f86496 | /r/LocalLLaMA/comments/1f86496/deep_document_search_with_llms/ | false | false | self | 16 | {'enabled': False, 'images': [{'id': 'YdNcJIZ6x_zQ3xIpfGNZniY1MKQ7oq8kZKj7hpJknyY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/-ILkwPyIBRa1RwLdCkcx3mKwdijgS7yZIBQ5HuVy4qA.jpg?width=108&crop=smart&auto=webp&s=039d633f58eaec4a788a923c7b493e6f02a3e465', 'width': 108}, {'height': 108, 'url': 'h... |
Smallest open Vision models | 11 | Hi there, I was looking to get the smallest open source models Available for download and local work which has vision description capability. I already know florence 2, having ~600 mb file size but would really want to know some other even smaller models. Please give suggestions. Also, I require this for cpu based runn... | 2024-09-03T16:56:47 | https://www.reddit.com/r/LocalLLaMA/comments/1f850yw/smallest_open_vision_models/ | aviation_expert | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f850yw | false | null | t3_1f850yw | /r/LocalLLaMA/comments/1f850yw/smallest_open_vision_models/ | false | false | self | 11 | null |
Microsoft's local Copilot uses RWKV | 75 | [https://fixupx.com/picocreator/status/1831006494575464841](https://fixupx.com/picocreator/status/1831006494575464841)
We've already mentioned RWKV here a few times, as it scales context linearily unlike transformers. It is not as good as transformers, but allows for much better power consumption, cf [https://fixup... | 2024-09-03T16:44:14 | https://www.reddit.com/r/LocalLLaMA/comments/1f84pa8/microsofts_local_copilot_uses_rwkv/ | phhusson | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f84pa8 | false | null | t3_1f84pa8 | /r/LocalLLaMA/comments/1f84pa8/microsofts_local_copilot_uses_rwkv/ | false | false | self | 75 | {'enabled': False, 'images': [{'id': 'BySR6RiFwow5e76bKKN_jjWOz2p9u4FiNrIEakQJ1u4', 'resolutions': [{'height': 86, 'url': 'https://external-preview.redd.it/n7fB1BCFymmVPOeQoisCWVzb61nb8cFBADpJtEmAyOo.jpg?width=108&crop=smart&auto=webp&s=5d16e08a759c34b55c1c22e0adf9e2fa7de7a134', 'width': 108}, {'height': 172, 'url': 'h... |
An open-source voice-to-voice LLM: Mini-Omni | 231 | 2024-09-03T16:43:56 | https://huggingface.co/gpt-omni/mini-omni | Vivid_Dot_6405 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1f84p1g | false | null | t3_1f84p1g | /r/LocalLLaMA/comments/1f84p1g/an_opensource_voicetovoice_llm_miniomni/ | false | false | 231 | {'enabled': False, 'images': [{'id': 'KffQczrPcdxMdx-Xy9PWKER3Jb8FDDaGVUzRm_WCoio', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/HVANoKq75dWOyRhD8XG-ctuRkDsfgOAgX7FlQb2jhOU.jpg?width=108&crop=smart&auto=webp&s=70be07f445d304dbbbe105b2284511548dab8741', 'width': 108}, {'height': 116, 'url': 'h... | ||
Is this H100 a good deal for $5k? | 35 | [https://www.facebook.com/marketplace/item/368843129598589](https://www.facebook.com/marketplace/item/368843129598589)
https://preview.redd.it/6nwwaejcgmmd1.png?width=444&format=png&auto=webp&s=6c4b8c8a0c284d17a1ae29265e79d95335286908
| 2024-09-03T16:35:06 | https://www.reddit.com/r/LocalLLaMA/comments/1f84h68/is_this_h100_a_good_deal_for_5k/ | desexmachina | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f84h68 | false | null | t3_1f84h68 | /r/LocalLLaMA/comments/1f84h68/is_this_h100_a_good_deal_for_5k/ | false | false | 35 | null | |
How does chatpdf work? | 1 | I want to build my own chatpdf.com. is it essentially a RAG? Where to start? | 2024-09-03T16:26:18 | https://www.reddit.com/r/LocalLLaMA/comments/1f84945/how_does_chatpdf_work/ | Abject-Relative5787 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f84945 | false | null | t3_1f84945 | /r/LocalLLaMA/comments/1f84945/how_does_chatpdf_work/ | false | false | self | 1 | null |
Meta Quest 3 & LLMs | 6 | Just was dusting off the Quest 3 to find the Meta AI feature now enabled.
Then wondered if anyone has seen any projects to run local LLMs on the Quest. Given 8GB of RAM, not expecting much, but curious nonetheless if there's been anything out there.
I don't think running something like llama.cpp on it makes much sens... | 2024-09-03T16:23:26 | https://www.reddit.com/r/LocalLLaMA/comments/1f846g3/meta_quest_3_llms/ | towelpluswater | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f846g3 | false | null | t3_1f846g3 | /r/LocalLLaMA/comments/1f846g3/meta_quest_3_llms/ | false | false | self | 6 | null |
Character.AI but on Llama3.1 405B | 20 | 2024-09-03T16:18:50 | https://huggingface.co/spaces/kz919/Persona-AI | Remarkable-Heat6165 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1f842a1 | false | null | t3_1f842a1 | /r/LocalLLaMA/comments/1f842a1/characterai_but_on_llama31_405b/ | false | false | 20 | {'enabled': False, 'images': [{'id': 'REDrcpO5kXfqsjZKmJK1lEOm-D2BoZ2EW8zDMA9scmw', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/8-QENTrXSI370X76o_hwGla1cQlxjvd0abix4v8vxs8.jpg?width=108&crop=smart&auto=webp&s=9957bdab164e57bed16cd74f916c52b4d7c30cfe', 'width': 108}, {'height': 116, 'url': 'h... | ||
Is everyone calibrating (or fine-tuning) on the prompts? | 1 | [removed] | 2024-09-03T16:01:34 | https://www.reddit.com/r/LocalLLaMA/comments/1f83m4t/is_everyone_calibrating_or_finetuning_on_the/ | Pedalnomica | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f83m4t | false | null | t3_1f83m4t | /r/LocalLLaMA/comments/1f83m4t/is_everyone_calibrating_or_finetuning_on_the/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'kl4QQk5J7pI_Zn67m5Mhg4JkxRfc256WUkCv3Fs8qGo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/vC5nhv6DOZolg62Dl9NI5skDyN0SSmyJ12KCUN36UNY.jpg?width=108&crop=smart&auto=webp&s=2e34dec243a7546ff945dfc7d2d5397cf29744c2', 'width': 108}, {'height': 108, 'url': 'h... |
What can $3000 get me? | 2 | I have $3000 to play with. What would be a build that would subsequently be able to serve a lot of users models like Llama 3.1 70b? I'm considering either rtx 3090's or rtx 4090's, but I'm not sure about any other hardware or how far they would get me. | 2024-09-03T15:59:00 | https://www.reddit.com/r/LocalLLaMA/comments/1f83jmr/what_can_3000_get_me/ | maxwell321 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f83jmr | false | null | t3_1f83jmr | /r/LocalLLaMA/comments/1f83jmr/what_can_3000_get_me/ | false | false | self | 2 | null |
Newbie want to setup LocalLLM used for different things | 0 | Assalamu alaykum
I want to create something like copilot or chatgpt in my computer that use localLLM model.
I have made up some search and I found out that implementing localLLM with RAG or LangChain can help me doing that (some sources suggest use both).
I just need a setup to help me get real time information from... | 2024-09-03T15:56:18 | https://www.reddit.com/r/LocalLLaMA/comments/1f83hac/newbie_want_to_setup_localllm_used_for_different/ | isshofujitoraop39 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f83hac | false | null | t3_1f83hac | /r/LocalLLaMA/comments/1f83hac/newbie_want_to_setup_localllm_used_for_different/ | false | false | self | 0 | null |
Understanding Semantic Chunking: Preserving Coherence and Context in Text Division | 1 | [removed] | 2024-09-03T15:11:41 | https://medium.com/@nirdiamant21/semantic-chunking-improving-ai-information-retrieval-2f468be2d707 | Diamant-AI | medium.com | 1970-01-01T00:00:00 | 0 | {} | 1f82dw4 | false | null | t3_1f82dw4 | /r/LocalLLaMA/comments/1f82dw4/understanding_semantic_chunking_preserving/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'Ys27j0UpLpYqn8nGaLszPp1CeHViUVioMOaJKt1I_L8', 'resolutions': [{'height': 94, 'url': 'https://external-preview.redd.it/DiUSGG5lqYX3S5qsXtcAltHZ8UJzCTzZYMtMI7aiGl0.jpg?width=108&crop=smart&auto=webp&s=1fbb19cf44fb949e021daa3c9efdcdb2022ade01', 'width': 108}, {'height': 188, 'url': 'h... | |
How do you keep up? | 200 | I don't work in tech directly, but I'm doing my best to keep up with the latest developments in local LLMs. But every time I feel like I have a good setup, there's an avalanche of new models and/or interfaces that are superior to what I have been using.
Two questions: 1) How do you all keep up with the constant inno... | 2024-09-03T15:06:08 | https://www.reddit.com/r/LocalLLaMA/comments/1f8291k/how_do_you_keep_up/ | McDoof | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f8291k | false | null | t3_1f8291k | /r/LocalLLaMA/comments/1f8291k/how_do_you_keep_up/ | false | false | self | 200 | null |
Conferences on practical applications of LLMs | 2 | Most of the "AI Conferences" I've either attended or looked at are very C-level and not very technical or hands on. Are there any interesting conferences out there for people looking for more nitty gritty and applied uses of LLMs? | 2024-09-03T15:01:07 | https://www.reddit.com/r/LocalLLaMA/comments/1f824j9/conferences_on_practical_applications_of_llms/ | UniLeverLabelMaker | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f824j9 | false | null | t3_1f824j9 | /r/LocalLLaMA/comments/1f824j9/conferences_on_practical_applications_of_llms/ | false | false | self | 2 | null |
RAG Techniques | 31 | 2024-09-03T14:32:56 | https://github.com/NirDiamant/RAG_Techniques | llathreddzg | github.com | 1970-01-01T00:00:00 | 0 | {} | 1f81g6h | false | null | t3_1f81g6h | /r/LocalLLaMA/comments/1f81g6h/rag_techniques/ | false | false | 31 | {'enabled': False, 'images': [{'id': 'S7Ue9N9T9DrHAn7CH2mHB1DZSPzWcvwjWC8Vic3CSWg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/6hVuYuhXyuXVhnFC_IK5caN6XLqRxPAo-1gmtd47y1M.jpg?width=108&crop=smart&auto=webp&s=7c012983aa7b317105bba2edba6a68fd6de7a12f', 'width': 108}, {'height': 108, 'url': 'h... | ||
Implementing Agentic Workflows / State Machines with Autogen+LLama3 | 44 | I have been using Autogen at work (we started before Langgraph was a thing) and have been really seeing a lot of value the value it brings to the table. Especially when implementing two-agent patterns like "reflection."
While the conversational functionality of groupchat is amazing sometimes my agents get derailed and... | 2024-09-03T14:29:42 | https://www.reddit.com/r/LocalLLaMA/comments/1f81ddu/implementing_agentic_workflows_state_machines/ | YourTechBud | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f81ddu | false | null | t3_1f81ddu | /r/LocalLLaMA/comments/1f81ddu/implementing_agentic_workflows_state_machines/ | false | false | self | 44 | {'enabled': False, 'images': [{'id': 'H_Z8BLRZDptJssFIq4F15C45_ClHVOOvUdhrCYwdTz8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/bvX249DujLHi9q0_ECdqOBrb_pjsOlqWLRjFJY_kxl4.jpg?width=108&crop=smart&auto=webp&s=dc35dccbdc993deb598950399a4373e72c92cf07', 'width': 108}, {'height': 108, 'url': 'h... |
RWKV v6 - a RWKV Collection | 7 | 2024-09-03T14:28:24 | https://huggingface.co/collections/RWKV/rwkv-v6-669cb221fe9496b3c693c8e9 | Dark_Fire_12 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1f81can | false | null | t3_1f81can | /r/LocalLLaMA/comments/1f81can/rwkv_v6_a_rwkv_collection/ | false | false | 7 | {'enabled': False, 'images': [{'id': 'Yg7nsr--bSCKr9-RXyJSeSCBbaoFqktAUsQ14PtU0cg', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/31iKVGhpqr6HC0EEnLc67A4baY96CD_wjbnuyxotdXw.jpg?width=108&crop=smart&auto=webp&s=c1aab94f1cdd70d95fa11f1ad69b5c765850dcc1', 'width': 108}, {'height': 116, 'url': 'h... | ||
fastest LLM interference method as of now. | 11 | Hey r/LocalLLaMA ,
I've recently been given access to a cluster of 24 NVIDIA H100 GPUs HXM, all interconnected via high-bandwidth LAN. (nvlink) I'm looking to leverage this setup for large-scale document inference tasks.
What's currently considered the best method for achieving the fastest inference speeds on this ki... | 2024-09-03T14:20:18 | https://www.reddit.com/r/LocalLLaMA/comments/1f815kq/fastest_llm_interference_method_as_of_now/ | Shivacious | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f815kq | false | null | t3_1f815kq | /r/LocalLLaMA/comments/1f815kq/fastest_llm_interference_method_as_of_now/ | false | false | self | 11 | null |
Is there a website which streams a never ending conversation between two LLMs? | 7 | As the title says. Surely someone has done it...
If the title wasn't clear, what I mean is a website that literally features two LLMs talking to each other in real time, in a never-ending conversation, and streams the live results. | 2024-09-03T13:14:11 | https://www.reddit.com/r/LocalLLaMA/comments/1f7zml7/is_there_a_website_which_streams_a_never_ending/ | TempWanderer101 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7zml7 | false | null | t3_1f7zml7 | /r/LocalLLaMA/comments/1f7zml7/is_there_a_website_which_streams_a_never_ending/ | false | false | self | 7 | null |
Token/s contest on llama3.1:8B (Q4) vLLM vs Ollama | 12 | It took me a while to test so I share the results here
Model lama3.1:8b Q4
GPU, 1 RTX 3090
vllm backend: 84 token/s
ollama backend: 88 token/s
tensorRTLLM: to-come... | 2024-09-03T13:08:49 | https://www.reddit.com/r/LocalLLaMA/comments/1f7zi62/tokens_contest_on_llama318b_q4_vllm_vs_ollama/ | 1overNseekness | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7zi62 | false | null | t3_1f7zi62 | /r/LocalLLaMA/comments/1f7zi62/tokens_contest_on_llama318b_q4_vllm_vs_ollama/ | false | false | self | 12 | null |
Limits of teaching new information to LLM | 6 | Consider teaching additional historical material to the LLM. Different history books from same era that discuss different things and are about e.g. local history that LLM is unlikely been trained on before.
Is it possible to get it to handle dates, understand (to some extent) relationships between events and what ca... | 2024-09-03T13:06:49 | https://www.reddit.com/r/LocalLLaMA/comments/1f7zglg/limits_of_teaching_new_information_to_llm/ | od3tzk1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7zglg | false | null | t3_1f7zglg | /r/LocalLLaMA/comments/1f7zglg/limits_of_teaching_new_information_to_llm/ | false | false | self | 6 | null |
LM studio web server can't connect to Open Web UI, Please help | 0 | Hello
I use LM studio web server locally on my machine:
[2024-09-03 07:46:50.032] [INFO] [LM STUDIO SERVER] Verbose server logs are ENABLED
[2024-09-03 07:46:50.042] [INFO] [LM STUDIO SERVER] Success! HTTP server listening on port 1234
[2024-09-03 07:46:50.042] [INFO] [LM STUDIO SERVER] Supported endpoin... | 2024-09-03T13:00:51 | https://www.reddit.com/r/LocalLLaMA/comments/1f7zbpg/lm_studio_web_server_cant_connect_to_open_web_ui/ | Tyraenel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7zbpg | false | null | t3_1f7zbpg | /r/LocalLLaMA/comments/1f7zbpg/lm_studio_web_server_cant_connect_to_open_web_ui/ | false | false | 0 | null | |
Isnt finetuning extremely expensive in the cloud? | 5 | Lately I've been introduced in the finetuning and after working around with it for a month I've gotten to some conclusions that I'm not 100% confident if they could be improved.
I've been testing with different model sizes, from 405b llama 3.1 to llama 8b
The thing is that for example the pricer per 1M tokens for 70... | 2024-09-03T12:27:56 | https://www.reddit.com/r/LocalLLaMA/comments/1f7yn2l/isnt_finetuning_extremely_expensive_in_the_cloud/ | SirLouen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7yn2l | false | null | t3_1f7yn2l | /r/LocalLLaMA/comments/1f7yn2l/isnt_finetuning_extremely_expensive_in_the_cloud/ | false | false | self | 5 | null |
Best LLM to locally host and run | 0 | Hi guys,
Which is the best LLM with a intuitive Web UI I can locally host and use.
I have couple of RTX 3080s laying around.
Thank you! | 2024-09-03T12:26:24 | https://www.reddit.com/r/LocalLLaMA/comments/1f7ylx4/best_llm_to_locally_host_and_run/ | imedmactavish | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7ylx4 | false | null | t3_1f7ylx4 | /r/LocalLLaMA/comments/1f7ylx4/best_llm_to_locally_host_and_run/ | false | false | self | 0 | null |
How to chat with code in Readthedocs for free | 16 | # 0x00 Introduction
Readthedocs is a well-known platform for hosting documentation from GitHub and GitLab for free. When there is a large amount of project documentation, simple searches may not meet the needs of readers; moreover, in the AI 2.0 era, the user experience of "seeking answers" has gradually been outdated... | 2024-09-03T12:11:32 | https://www.reddit.com/r/LocalLLaMA/comments/1f7ybba/how_to_chat_with_code_in_readthedocs_for_free/ | InternLM | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7ybba | false | null | t3_1f7ybba | /r/LocalLLaMA/comments/1f7ybba/how_to_chat_with_code_in_readthedocs_for_free/ | false | false | 16 | {'enabled': False, 'images': [{'id': 'NCzYSAx7eITKJDSvKNjcO1e3bJa_1MCv0jG14XWQB14', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/K6AkqvZCaDN6NNG3K6-1b5BbH7DD9TMIYDCuMQSLFyU.jpg?width=108&crop=smart&auto=webp&s=d5ebff6449711d3b72b0bad4b11bf9b3bf8a5ad4', 'width': 108}, {'height': 108, 'url': 'h... | |
LLM codeblock diff for merging algorithm | 9 | I realized that we as a community will eventually have to be able to parse the output of the LLMs and this will allow us to parse the codeblock and merge them into anyone use-cases.
I created the code here: [https://github.com/Cvikli/DiffLib.jl](https://github.com/Cvikli/DiffLib.jl)
I think this version is actually ... | 2024-09-03T12:01:24 | https://www.reddit.com/r/LocalLLaMA/comments/1f7y47i/llm_codeblock_diff_for_merging_algorithm/ | CvikliHaMar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7y47i | false | null | t3_1f7y47i | /r/LocalLLaMA/comments/1f7y47i/llm_codeblock_diff_for_merging_algorithm/ | false | false | self | 9 | {'enabled': False, 'images': [{'id': 'FYR6vegMMlTLecEam4VyLru3nDwtcZyobGN0qGuilj4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/siRSdnx-uS8IJVadzjE4VDn1L149gzob0iI2e6daO4U.jpg?width=108&crop=smart&auto=webp&s=6756c084abc2014a869c08243b6d281d4b21fabd', 'width': 108}, {'height': 108, 'url': 'h... |
Adversarial Robust Deep Reinforcement Learning | 1 | [removed] | 2024-09-03T11:31:22 | https://www.reddit.com/r/LocalLLaMA/comments/1f7xkhg/adversarial_robust_deep_reinforcement_learning/ | ml_dnn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7xkhg | false | null | t3_1f7xkhg | /r/LocalLLaMA/comments/1f7xkhg/adversarial_robust_deep_reinforcement_learning/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'Ae_HTGbyOeLDxnn5rioG2__Hro2Cbinigq5jee1OTEw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/t0bbvz20g5LwBFrCACoMfKpfMbLv8HWPMzdN6S8jhF4.jpg?width=108&crop=smart&auto=webp&s=e2c8093b5f6781942bc01e1c74384193df173591', 'width': 108}, {'height': 108, 'url': 'h... |
GUI with preprogrammed prompts: the killer application for LLMs? | 0 | In my opinion LLMs are best used to analyze large input texts (codes) and to compare them to their trained data. If it is true, then this large text (like a 32k tokens text in offline mode) should be the base of any LLM operation. It means that the "killer application" for LLMs is quite possibly a GUI, which can use on... | 2024-09-03T11:23:46 | https://www.reddit.com/r/LocalLLaMA/comments/1f7xfor/gui_with_preprogrammed_prompts_the_killer/ | custodiam99 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7xfor | false | null | t3_1f7xfor | /r/LocalLLaMA/comments/1f7xfor/gui_with_preprogrammed_prompts_the_killer/ | false | false | self | 0 | null |
Getting a 4xRTX4090 for 20 user in-house setup | 41 | Hi Everyone,
We’ve developed our LLM using a variant of LLama 2 13b (int4 quantized) with some adapters
And it’s perfect for our user’s use case.
Now he needs it in-house and we’ve been thinking about the compute requirements that needs to run on.
When I looked around as the number of users increase the KV cache a... | 2024-09-03T10:46:08 | https://www.reddit.com/r/LocalLLaMA/comments/1f7wstt/getting_a_4xrtx4090_for_20_user_inhouse_setup/ | Great-Hall-1516 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7wstt | false | null | t3_1f7wstt | /r/LocalLLaMA/comments/1f7wstt/getting_a_4xrtx4090_for_20_user_inhouse_setup/ | false | false | self | 41 | null |
🎯 Selective fine-tuning of Language Models with Spectrum + HF TRL | 10 | 2024-09-03T10:11:58 | https://huggingface.co/blog/anakin87/spectrum | anakin_87 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1f7w9v6 | false | null | t3_1f7w9v6 | /r/LocalLLaMA/comments/1f7w9v6/selective_finetuning_of_language_models_with/ | false | false | 10 | {'enabled': False, 'images': [{'id': 'h6GZlJ9oOLu0ZD48Sm2NmYlfuGmwoDmbMdsd9Xq_rho', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/Er0DX69PaCYZ6JE8E8xf_QhgYmzBlQrUtdVSdRlCQoM.jpg?width=108&crop=smart&auto=webp&s=b280554d63a2546e93dabfc43b4506226e261215', 'width': 108}, {'height': 116, 'url': 'h... | ||
CUDA on WSL 2? | 3 | Anybody tried unsloth via wsl? I’ve been using unsloth on runpod for a while but I want to try it on my local machine but nvidia on linux is a task on its own so I was wondering if it’s any good via WSL? if you guys faced any hiccups or nah? | 2024-09-03T09:55:13 | https://www.reddit.com/r/LocalLLaMA/comments/1f7w0i5/cuda_on_wsl_2/ | lehsunMartins | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7w0i5 | false | null | t3_1f7w0i5 | /r/LocalLLaMA/comments/1f7w0i5/cuda_on_wsl_2/ | false | false | self | 3 | null |
Need advice on 4x3090 inference build | 5 | Can get 4 3090s for really good price.
The question is:
is it ok to just grab MB with 4 PCI-E slots (thinking Gigabyte B650 EAGLE AX) + 7700X + some risers?
or is it required to be like Epyc or Threadripper because of PCI-E lanes?
I hear people say PCI-E speed is not important for inference, but what would be the ... | 2024-09-03T09:34:24 | https://www.reddit.com/r/LocalLLaMA/comments/1f7vpnw/need_advice_on_4x3090_inference_build/ | NickNau | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7vpnw | false | null | t3_1f7vpnw | /r/LocalLLaMA/comments/1f7vpnw/need_advice_on_4x3090_inference_build/ | false | false | self | 5 | null |
Voice Cloning for MeloTTS | 1 | [removed] | 2024-09-03T09:23:12 | https://www.reddit.com/r/LocalLLaMA/comments/1f7vk1d/voice_cloning_for_melotts/ | Narrow_Buddy_562 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7vk1d | false | null | t3_1f7vk1d | /r/LocalLLaMA/comments/1f7vk1d/voice_cloning_for_melotts/ | false | false | self | 1 | null |
Can a GTX 1050ti run any LLM? | 1 | [removed] | 2024-09-03T09:06:23 | https://www.reddit.com/r/LocalLLaMA/comments/1f7vbps/can_a_gtx_1050ti_run_any_llm/ | TCExpert | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7vbps | false | null | t3_1f7vbps | /r/LocalLLaMA/comments/1f7vbps/can_a_gtx_1050ti_run_any_llm/ | false | false | self | 1 | null |
Turning random images into a visual story (Workflow included) | 40 | Turning images to story is available on quite a few AI services websites, some even cost money to generate. You can easily do this offline with your PC for free - **and with extra features.**
[ComfyUI workflow](https://preview.redd.it/iegtmcp5tjmd1.jpg?width=2930&format=pjpg&auto=webp&s=e819bb9ace287a62dc7c5f3571253d8... | 2024-09-03T07:59:08 | https://www.reddit.com/r/LocalLLaMA/comments/1f7udii/turning_random_images_into_a_visual_story/ | Internet--Traveller | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1f7udii | false | null | t3_1f7udii | /r/LocalLLaMA/comments/1f7udii/turning_random_images_into_a_visual_story/ | false | false | 40 | null |
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