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OuteAI/Lite-Mistral-150M-v2-Instruct · Hugging Face | 59 | 2024-07-16T14:22:26 | https://huggingface.co/OuteAI/Lite-Mistral-150M-v2-Instruct | OuteAI | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1e4pwz4 | false | null | t3_1e4pwz4 | /r/LocalLLaMA/comments/1e4pwz4/outeailitemistral150mv2instruct_hugging_face/ | false | false | 59 | {'enabled': False, 'images': [{'id': '58HMcV87T4Y1YjtA8CeZbj6HGNzEMIlL3Fdr1kny7Io', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/judUYjCgx-FybOMjbtCNSaelnqdyiQWXRloN6orcqgE.jpg?width=108&crop=smart&auto=webp&s=1d6dff5b3dc5176c07c6492d3867c14134fd7d9b', 'width': 108}, {'height': 116, 'url': 'h... | ||
Groq Releases ‘Groqbook’, an App that Generates Entire Books in Seconds. | 0 | 2024-07-16T14:10:27 | https://iblnews.org/groq-releases-an-app-that-generates-entire-books-in-seconds/ | TheOneTheGuyTheKing | iblnews.org | 1970-01-01T00:00:00 | 0 | {} | 1e4pmx6 | false | null | t3_1e4pmx6 | /r/LocalLLaMA/comments/1e4pmx6/groq_releases_groqbook_an_app_that_generates/ | false | false | default | 0 | null | |
ColPali: and end-to-end model embedding rendered PDF pages directly and answering queries using a vision LLM | 26 | Sounds like a really interesting new approach working with rendered page images directly rather than having to build and OCR and chunking pipeline.
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# ColPali: Visual Retriever based on PaliGemma-3B with ColBERT strategy
ColPali is a model based on a novel model arch... | 2024-07-16T14:10:07 | https://www.reddit.com/r/LocalLLaMA/comments/1e4pmlj/colpali_and_endtoend_model_embedding_rendered_pdf/ | daaain | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4pmlj | false | null | t3_1e4pmlj | /r/LocalLLaMA/comments/1e4pmlj/colpali_and_endtoend_model_embedding_rendered_pdf/ | false | false | self | 26 | {'enabled': False, 'images': [{'id': '9YbHqdhEi-fU84AF8Gus19FmdwwAy87ur29O__d4AlA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/Onm07_TWNACs9hs1WdEP-4RBcBhtiH7eZAG0WMJXGx0.jpg?width=108&crop=smart&auto=webp&s=96bbc2c772cf299e87e9903557cd36d42ad717ab', 'width': 108}, {'height': 116, 'url': 'h... |
Apple, Nvidia, Anthropic Used Thousands of Swiped YouTube Videos to Train AI. | 1 | 2024-07-16T14:07:19 | https://www.proofnews.org/apple-nvidia-anthropic-used-thousands-of-swiped-youtube-videos-to-train-ai/ | TheOneTheGuyTheKing | proofnews.org | 1970-01-01T00:00:00 | 0 | {} | 1e4pkap | false | null | t3_1e4pkap | /r/LocalLLaMA/comments/1e4pkap/apple_nvidia_anthropic_used_thousands_of_swiped/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'i_81PKjK8MUAKhkZcLW2FFQQcRDNXCQu53F-Ba-br-w', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/a1EHgpExTSVGrCdA83qlhAnWF1DaVzPRusKmp5YfmIU.jpg?width=108&crop=smart&auto=webp&s=334a8ec1eaf43563867789148108930e1578f027', 'width': 108}, {'height': 121, 'url': 'h... | ||
OLLAMA_NUM_PARALLEL and Output Quality? | 1 | According to [Ollama FAQ](https://github.com/ollama/ollama/blob/main/docs/faq.md): "Parallel request processing for a given model results in increasing the context size by the number of parallel requests. For example, a 2K context with 4 parallel requests will result in an 8K context and additional memory allocation."
... | 2024-07-16T13:32:24 | https://www.reddit.com/r/LocalLLaMA/comments/1e4or2k/ollama_num_parallel_and_output_quality/ | chibop1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4or2k | false | null | t3_1e4or2k | /r/LocalLLaMA/comments/1e4or2k/ollama_num_parallel_and_output_quality/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'ORNCVV48hWDGqFOvpbgGP4zTt7-V_xJZXU4PWDutrIE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/G_Ix4zvQHnKsmJuT6Ix2thnt1sxFWRtktmj8dsvx3_U.jpg?width=108&crop=smart&auto=webp&s=087ad8078a58702d177a00f0b79addf18d4f98ff', 'width': 108}, {'height': 108, 'url': 'h... |
Finetuning Embeddings | 6 | Hey Guys ,
So I fine tuned 'sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 ' on 'Two sentences and score' scheme .
After fine tuning , when I calculate cosine similarity from original model and new fine tuned model ,
fine tuned model is giving very high cosine score even to sentence pairs which are not... | 2024-07-16T13:29:03 | https://www.reddit.com/r/LocalLLaMA/comments/1e4ooas/finetuning_embeddings/ | Spiritual-Rub925 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4ooas | false | null | t3_1e4ooas | /r/LocalLLaMA/comments/1e4ooas/finetuning_embeddings/ | false | false | self | 6 | null |
Microsoft has released a paper detailing an LLM optimized for spreadsheets | 60 | Seems they've taken an interesting approach to the problem. Including compressing tokens
One of the problems with using LLMs in spreadsheets is that they get bogged down by too many tokens (basic units of information the model processes). To tackle this, Microsoft developed SheetCompressor, an "innovative encoding fra... | 2024-07-16T13:22:00 | https://www.reddit.com/r/LocalLLaMA/comments/1e4oiox/microsoft_has_released_a_paper_detailing_an_llm/ | eviloni | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4oiox | false | null | t3_1e4oiox | /r/LocalLLaMA/comments/1e4oiox/microsoft_has_released_a_paper_detailing_an_llm/ | false | false | self | 60 | null |
Server Recs | 2 | First, I’m new to this. So sorry for the dumb question. My Mac is too old to run most of the models on. Who provides a good balance of cost vs power? Digital Ocean? This is for learning. So cheap is good. What am I planning on doing? Just trying stuff out - but I want the entry bar low. | 2024-07-16T13:09:25 | https://www.reddit.com/r/LocalLLaMA/comments/1e4o8oe/server_recs/ | No_Slice_6131 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4o8oe | false | null | t3_1e4o8oe | /r/LocalLLaMA/comments/1e4o8oe/server_recs/ | false | false | self | 2 | null |
Dense vector + Sparse vector + Full text search + Tensor reranker = Best for RAG? | 6 | 2024-07-16T13:05:48 | https://infiniflow.org/blog/best-hybrid-search-solution | newpeak | infiniflow.org | 1970-01-01T00:00:00 | 0 | {} | 1e4o5xa | false | null | t3_1e4o5xa | /r/LocalLLaMA/comments/1e4o5xa/dense_vector_sparse_vector_full_text_search/ | false | false | 6 | {'enabled': False, 'images': [{'id': '5-UPMPrcMqDkkGoTtzqtmfIZ7KsT31OcXHbATc9e4FU', 'resolutions': [{'height': 26, 'url': 'https://external-preview.redd.it/Jdt78XY3g2bBNls342Ti5Q9k2qslEs5XuEQFoDklcAo.jpg?width=108&crop=smart&auto=webp&s=71c816e9999692c18f7350082ae79212b4127933', 'width': 108}, {'height': 52, 'url': 'ht... | ||
What’s the best way to make an LLM act and write like yourself? | 13 | What’s the best way to go on about it?
Goal: I want to create an LLM that acts and behaves like me (llama 3)
I want it to write responses like a human. (For replies, etc)
Is fine tuning the only option or does RAG also work for this?
Info: I only have 6gb vram on a laptop | 2024-07-16T12:57:44 | https://www.reddit.com/r/LocalLLaMA/comments/1e4nzc2/whats_the_best_way_to_make_an_llm_act_and_write/ | Deluded-1b-gguf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4nzc2 | false | null | t3_1e4nzc2 | /r/LocalLLaMA/comments/1e4nzc2/whats_the_best_way_to_make_an_llm_act_and_write/ | false | false | self | 13 | null |
LM Studio server: are there software applications actually using it? | 3 | LM Studio has a server function, which helps software applications to access the offline LLMs. But I found only one software - Subtitle Edit - to use this feature. The server function is essential to use any LLM in a productive and scaled up manner. Are there other software applications using the LM Studio server funct... | 2024-07-16T12:38:00 | https://www.reddit.com/r/LocalLLaMA/comments/1e4nkwg/lm_studio_server_are_there_software_applications/ | custodiam99 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4nkwg | false | null | t3_1e4nkwg | /r/LocalLLaMA/comments/1e4nkwg/lm_studio_server_are_there_software_applications/ | false | false | self | 3 | null |
Document Store overload - tried deleting index already | 1 | [removed] | 2024-07-16T12:19:03 | https://www.reddit.com/r/LocalLLaMA/comments/1e4n71x/document_store_overload_tried_deleting_index/ | PotentialNo826 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4n71x | false | null | t3_1e4n71x | /r/LocalLLaMA/comments/1e4n71x/document_store_overload_tried_deleting_index/ | false | false | self | 1 | null |
Mixture of Million Experts | 1 | [removed] | 2024-07-16T12:17:47 | https://www.reddit.com/r/LocalLLaMA/comments/1e4n66g/mixture_of_million_experts/ | Pretend_Ad3180 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4n66g | false | null | t3_1e4n66g | /r/LocalLLaMA/comments/1e4n66g/mixture_of_million_experts/ | false | false | 1 | null | |
Mixture of Million Experts | 1 | [removed] | 2024-07-16T12:14:57 | https://www.reddit.com/r/LocalLLaMA/comments/1e4n45f/mixture_of_million_experts/ | Pretend_Ad3180 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4n45f | false | null | t3_1e4n45f | /r/LocalLLaMA/comments/1e4n45f/mixture_of_million_experts/ | false | false | 1 | null | |
Gemma 2: the first truly multilingual open model | 1 | [removed] | 2024-07-16T12:09:47 | https://www.reddit.com/r/LocalLLaMA/comments/1e4n0hk/gemma_2_the_first_truly_multilingual_open_model/ | Substantial-Dig-8766 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4n0hk | false | null | t3_1e4n0hk | /r/LocalLLaMA/comments/1e4n0hk/gemma_2_the_first_truly_multilingual_open_model/ | false | false | self | 1 | null |
Building a gaming PC but also want to do AI stuff on it, need some help | 1 | I want to build a gaming pc (for path of exile) but also use it for LLMs. The thing is right now I don't have a big budget so I can't afford a 4090. I am currently living in India and the prices here are around 15% higher than the US due to taxes :(. Also it's really hard to find used 3090's.
So I have been looking a... | 2024-07-16T12:04:06 | https://www.reddit.com/r/LocalLLaMA/comments/1e4mwg0/building_a_gaming_pc_but_also_want_to_do_ai_stuff/ | falconandeagle | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4mwg0 | false | null | t3_1e4mwg0 | /r/LocalLLaMA/comments/1e4mwg0/building_a_gaming_pc_but_also_want_to_do_ai_stuff/ | false | false | self | 1 | null |
Build a chatbot with an LLM and an image input | 1 | [removed] | 2024-07-16T11:58:16 | https://www.reddit.com/r/LocalLLaMA/comments/1e4ms6z/build_a_chatbot_with_an_llm_and_an_image_input/ | Mission_Rain7133 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4ms6z | false | null | t3_1e4ms6z | /r/LocalLLaMA/comments/1e4ms6z/build_a_chatbot_with_an_llm_and_an_image_input/ | false | false | self | 1 | null |
Dataset format for llama3 finetuning | 1 | [removed] | 2024-07-16T11:23:10 | https://www.reddit.com/r/LocalLLaMA/comments/1e4m59h/dataset_format_for_llama3_finetuning/ | UnderstandingOrganic | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4m59h | false | null | t3_1e4m59h | /r/LocalLLaMA/comments/1e4m59h/dataset_format_for_llama3_finetuning/ | false | false | self | 1 | null |
Why nxcode results are so impressive? | 1 | [removed] | 2024-07-16T11:19:48 | https://www.reddit.com/r/LocalLLaMA/comments/1e4m2ym/why_nxcode_results_are_so_impressive/ | ImportantOwl2939 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4m2ym | false | null | t3_1e4m2ym | /r/LocalLLaMA/comments/1e4m2ym/why_nxcode_results_are_so_impressive/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'AfhGJkbgEFTmVk3U4FzcRdeEN1NLHptKGM66pYGPG38', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/8daCShdBKOUzR_n86Hw5f18UeO-X6MUZ5e1Pktzj9Fc.jpg?width=108&crop=smart&auto=webp&s=6d999a16e330ff478d66e71f623de3bf346beccf', 'width': 108}, {'height': 116, 'url': 'h... |
OpenAI is training GPT 5 with 50 Trillion synthetic tokens as per Teknium's unnamed source. Teknium is the co-founder of NousResearch, very well reputed in the open source community. He is not a a hype artist. I think OpenAI has bet a lot of synthetic data being the difference maker. | 1 | 2024-07-16T11:13:44 | https://www.reddit.com/gallery/1e4lz3w | boldlion73 | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1e4lz3w | false | null | t3_1e4lz3w | /r/LocalLLaMA/comments/1e4lz3w/openai_is_training_gpt_5_with_50_trillion/ | false | false | 1 | null | ||
SUGAR DADDY SUGAR BABY AI PARTNERSHIP MODEL: Does Mistral needs to find a daddy like OpenAI with Microsoft? | 0 | OpenAI has Microsoft.
Anthropic has Amazon (although less dependent).
Google married DeepMind (credit to their acquisition).
Meta is the only one who doesn't fall in this model.
Nvidia is taking a similar route to Meta with Nemotron plus they are basically the AI overlord.
xAI has Elon Musk.
Should Mistral partne... | 2024-07-16T10:48:15 | https://www.reddit.com/r/LocalLLaMA/comments/1e4lju6/sugar_daddy_sugar_baby_ai_partnership_model_does/ | boldlion73 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4lju6 | false | null | t3_1e4lju6 | /r/LocalLLaMA/comments/1e4lju6/sugar_daddy_sugar_baby_ai_partnership_model_does/ | false | false | self | 0 | null |
Can anyone tell me is there any model which can convert text to dialog or speech to dialog? | 1 | Can anyone model or any other method to convert my text to dailog .
Context:
I have one audio in which 2 persons are speaking i want to convert this speech to text in output i want text to be in dailog format so i tried one approch i.e. with whisper i converted speech to text and said llama3 to convert this to dialog ... | 2024-07-16T10:13:59 | https://www.reddit.com/r/LocalLLaMA/comments/1e4l0ke/can_anyone_tell_me_is_there_any_model_which_can/ | WriedGuy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4l0ke | false | null | t3_1e4l0ke | /r/LocalLLaMA/comments/1e4l0ke/can_anyone_tell_me_is_there_any_model_which_can/ | false | false | self | 1 | null |
Integrating a local LLM into an android app. | 2 | Beginner developer here looking for tips; So i basically want to run an llm locally and integrate the interface into an app. I was thinknig of using mistral-7b for now. Any tips on how to go about doing this would be appreciated. Personally I'm not even sure it's all that feasible but it's what i have to do. | 2024-07-16T10:06:33 | https://www.reddit.com/r/LocalLLaMA/comments/1e4kwil/integrating_a_local_llm_into_an_android_app/ | FeistyKnight | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4kwil | false | null | t3_1e4kwil | /r/LocalLLaMA/comments/1e4kwil/integrating_a_local_llm_into_an_android_app/ | false | false | self | 2 | null |
I gave Llama 3 a 450 line task and it responded with "Good Luck" | 515 | 2024-07-16T09:37:32 | CaptTechno | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1e4kg7n | false | null | t3_1e4kg7n | /r/LocalLLaMA/comments/1e4kg7n/i_gave_llama_3_a_450_line_task_and_it_responded/ | false | false | 515 | {'enabled': True, 'images': [{'id': 'ofq8-WZwByRxEyV1gbxfkRyFoIUEF6fSyQZRK9ky6_E', 'resolutions': [{'height': 19, 'url': 'https://preview.redd.it/2n1oytw3pucd1.png?width=108&crop=smart&auto=webp&s=093d73c6b92f16c2a6c568726ff90db75a32b39d', 'width': 108}, {'height': 38, 'url': 'https://preview.redd.it/2n1oytw3pucd1.png?... | |||
best LLM for text to text translations on Apple Silicon ? | 0 | Hi, I'm just starting to delve into the world of LLM's for my translation needs. Is there any recommended LLM (like SeamlessM4T or equivalent) that can easily be run on Apple Silicon.
Mostly doing text-to-text translations, but STT would be a nice addon.
Mostly normal EU languages and a few Semitic ones. | 2024-07-16T09:15:21 | https://www.reddit.com/r/LocalLLaMA/comments/1e4k4qa/best_llm_for_text_to_text_translations_on_apple/ | greenreddits | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4k4qa | false | null | t3_1e4k4qa | /r/LocalLLaMA/comments/1e4k4qa/best_llm_for_text_to_text_translations_on_apple/ | false | false | self | 0 | null |
Apple has released the weights for their 7B DCLM base model. | 214 | [DCLM-Baseline-7B](https://huggingface.co/apple/DCLM-Baseline-7B) is a 7 billion parameter language model trained on the DCLM-Baseline dataset, which was curated as part of the DataComp for Language Models (DCLM) benchmark. This model is designed to showcase the effectiveness of systematic data curation techniques for ... | 2024-07-16T08:59:05 | https://www.reddit.com/r/LocalLLaMA/comments/1e4jw0c/apple_has_released_the_weights_for_their_7b_dclm/ | remixer_dec | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4jw0c | false | null | t3_1e4jw0c | /r/LocalLLaMA/comments/1e4jw0c/apple_has_released_the_weights_for_their_7b_dclm/ | false | false | self | 214 | {'enabled': False, 'images': [{'id': 'X9nSHWKC4LcduCfDpLxH5Y66UApSkCrJFU8aE2qE7Ik', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/4__peHD1ktH8gyTbTmLxtD8meaNJ6WEQWEN8yVOuslc.jpg?width=108&crop=smart&auto=webp&s=31e3fcf398ee013354f97386b51b74530fcfdfa0', 'width': 108}, {'height': 116, 'url': 'h... |
Llama3 8B training: dual4090 vs 4090 vs cloud | 1 | [removed] | 2024-07-16T08:46:35 | https://www.reddit.com/r/LocalLLaMA/comments/1e4jpiv/llama3_8b_training_dual4090_vs_4090_vs_cloud/ | Attention1012 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4jpiv | false | null | t3_1e4jpiv | /r/LocalLLaMA/comments/1e4jpiv/llama3_8b_training_dual4090_vs_4090_vs_cloud/ | false | false | self | 1 | null |
What are the best LLM front ends that are similar to note taking/ docs? | 1 | I’m looking for some project that can generate text, while writing. Anybody have any good ones?
I remember seeing some creative writing one, but I forgot the name. | 2024-07-16T08:36:37 | https://www.reddit.com/r/LocalLLaMA/comments/1e4jkb3/what_are_the_best_llm_front_ends_that_are_similar/ | Deluded-1b-gguf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4jkb3 | false | null | t3_1e4jkb3 | /r/LocalLLaMA/comments/1e4jkb3/what_are_the_best_llm_front_ends_that_are_similar/ | false | false | self | 1 | null |
Any good open source model can achieve 100K or 200K context length as of 2024? | 16 | I see some similar question several months ago but it seems most open source model still only works only for 32K context. Are there some good ones now for longer context? | 2024-07-16T08:26:23 | https://www.reddit.com/r/LocalLLaMA/comments/1e4jez0/any_good_open_source_model_can_achieve_100k_or/ | Creepy-Muffin7181 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4jez0 | false | null | t3_1e4jez0 | /r/LocalLLaMA/comments/1e4jez0/any_good_open_source_model_can_achieve_100k_or/ | false | false | self | 16 | null |
An open source hub for top python functions that could be used as custom tools for AI projects. | 4 | Hey LocalLLamas,
As I was working daily on my AI projects, I have collected few automation function in python that I find helpful. An idea came to mind, that if I could make an open source project that gather all of these python hacks into one, and crowdsource from others. I believe in the long term will be great for... | 2024-07-16T08:19:00 | https://www.reddit.com/r/LocalLLaMA/comments/1e4jb76/an_open_source_hub_for_top_python_functions_that/ | tuantruong84 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4jb76 | false | {'oembed': {'description': 'This app was built in Streamlit! Check it out and visit https://streamlit.io for more awesome community apps. 🎈', 'height': 630, 'html': '<iframe class="embedly-embed" src="https://cdn.embedly.com/widgets/media.html?src=https%3A%2F%2Fautopilot.streamlit.app%2F%3Fembed%3Dtrue&display_name=St... | t3_1e4jb76 | /r/LocalLLaMA/comments/1e4jb76/an_open_source_hub_for_top_python_functions_that/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'WrjK7Xe-8zRUO2Huq39DYyKAbGKEnZ4taWqaRH_JYTQ', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/oAoSBLpXzwcysQ16d4hKEgnFB1zmyy2UnPhRvG545Bo.jpg?width=108&crop=smart&auto=webp&s=8548176927372dfe9a37937dbcedb9e215525781', 'width': 108}, {'height': 113, 'url': 'h... |
what are the best models for their size? | 75 | I am interested about pure reasoning and I wonder what are, in your opinion (not by leaderboards), which are the most "intelligent" (able to reason and solve logic problems ouside their training) compared to their size?
Like: best 3b or best 4b or best 7b... and so on.. but by your own experience.. | 2024-07-16T08:17:07 | https://www.reddit.com/r/LocalLLaMA/comments/1e4ja8n/what_are_the_best_models_for_their_size/ | Robert__Sinclair | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4ja8n | false | null | t3_1e4ja8n | /r/LocalLLaMA/comments/1e4ja8n/what_are_the_best_models_for_their_size/ | false | false | self | 75 | null |
Best orchestrator for RAG over tabular data | 1 | [removed] | 2024-07-16T07:49:57 | https://www.reddit.com/r/LocalLLaMA/comments/1e4ivza/best_orchestrator_for_rag_over_tabular_data/ | andyeverything | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4ivza | false | null | t3_1e4ivza | /r/LocalLLaMA/comments/1e4ivza/best_orchestrator_for_rag_over_tabular_data/ | false | false | self | 1 | null |
Some test data of Llama2- 7B on the A100 | 10 | I tested the performance of Llama2-7B on NVIDIA A100, and here are some data that I can share with you
https://preview.redd.it/ew8cgk8g2ucd1.png?width=1082&format=png&auto=webp&s=fc1ea68aebe9da076f1c1c7cedc3953c0c508dbb
https://preview.redd.it/6lw9oh2h2ucd1.png?width=1234&format=png&auto=webp&s=b0eb6ec71b8be724f55f69... | 2024-07-16T07:32:18 | https://www.reddit.com/r/LocalLLaMA/comments/1e4imrb/some_test_data_of_llama2_7b_on_the_a100/ | Ultra-Engineer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4imrb | false | null | t3_1e4imrb | /r/LocalLLaMA/comments/1e4imrb/some_test_data_of_llama2_7b_on_the_a100/ | false | false | 10 | null | |
Suggestion on GPUs setup | 1 | [removed] | 2024-07-16T07:19:18 | https://www.reddit.com/r/LocalLLaMA/comments/1e4ifqq/suggestion_on_gpus_setup/ | Devy9 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4ifqq | false | null | t3_1e4ifqq | /r/LocalLLaMA/comments/1e4ifqq/suggestion_on_gpus_setup/ | false | false | self | 1 | null |
Sizing Large Language Models: A T-Shirt Size Approach | 1 | 2024-07-16T07:15:53 | https://medium.com/@amir36/sizing-large-language-models-a-t-shirt-size-approach-efb25a3ff343 | anagri | medium.com | 1970-01-01T00:00:00 | 0 | {} | 1e4idxv | false | null | t3_1e4idxv | /r/LocalLLaMA/comments/1e4idxv/sizing_large_language_models_a_tshirt_size/ | false | false | 1 | {'enabled': False, 'images': [{'id': '0wYA4-zkMwcijVUnO0bvO29KZk95hHa89XRJ66VyiIM', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/Q4XO9dMmvsS0EiN1XX_RXpUK4UxFoBVqwLthQ-UCSUA.jpg?width=108&crop=smart&auto=webp&s=8ae34bb896533f33b2f4a9e7dc7171b00bfadb21', 'width': 108}, {'height': 121, 'url': 'h... | ||
What would be the minimum requirement for Llama400B? | 0 | I have mac M2 8gb. Would it be able to run on Q2 with llama.cpp? | 2024-07-16T07:02:05 | https://www.reddit.com/r/LocalLLaMA/comments/1e4i6f7/what_would_be_the_minimum_requirement_for/ | PlantFlat4056 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4i6f7 | false | null | t3_1e4i6f7 | /r/LocalLLaMA/comments/1e4i6f7/what_would_be_the_minimum_requirement_for/ | false | false | self | 0 | null |
Can I train a model on my organisation's codebase? | 1 | [removed] | 2024-07-16T05:44:05 | https://www.reddit.com/r/LocalLLaMA/comments/1e4gyf0/can_i_train_a_model_on_my_organisations_codebase/ | True_Ambassador_9991 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4gyf0 | false | null | t3_1e4gyf0 | /r/LocalLLaMA/comments/1e4gyf0/can_i_train_a_model_on_my_organisations_codebase/ | false | false | self | 1 | null |
𝗤𝘂𝗲𝗿𝘆 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 𝘁𝗼 𝗘𝗻𝗵𝗮𝗻𝗰𝗲 𝗬𝗼𝘂𝗿 𝗦𝗲𝗮𝗿𝗰𝗵 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 | 1 | [removed] | 2024-07-16T05:39:11 | https://www.reddit.com/gallery/1e4gvoe | masteringllm | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1e4gvoe | false | null | t3_1e4gvoe | /r/LocalLLaMA/comments/1e4gvoe/𝗤𝘂𝗲𝗿𝘆_𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀_𝗧𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀_𝘁𝗼_𝗘𝗻𝗵𝗮𝗻𝗰𝗲_𝗬𝗼𝘂𝗿_𝗦𝗲𝗮𝗿𝗰𝗵/ | false | false | 1 | null | |
Do the GPT-4 and Claude APIs use RAG internally? | 3 | I've found that the major cloud offerings are extremely strong at exactly reproducing certain types of information, while being quite weak at reproducing others.
For example, Claude has no problem citing exact DOIs and author lists for scientific papers, but when asked to quote the text of a famous poem, some words ar... | 2024-07-16T05:31:38 | https://www.reddit.com/r/LocalLLaMA/comments/1e4grgd/do_the_gpt4_and_claude_apis_use_rag_internally/ | -p-e-w- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4grgd | false | null | t3_1e4grgd | /r/LocalLLaMA/comments/1e4grgd/do_the_gpt4_and_claude_apis_use_rag_internally/ | false | false | self | 3 | null |
Best CPU and Motherboard for AI Image inference server (LLAMA, SD)?
| 0 | Hi! I'm upgrading a home server used for LLAMA and stable diffusion image inference. I need a recommendation for CPU and motherboard that will support at least 8-10 GPUS (more the better) because each GPU gets its own instance to process api requests (for 10 concurrent users).
Also needs fast CPU and lots of RAM becau... | 2024-07-16T04:32:15 | https://www.reddit.com/r/LocalLLaMA/comments/1e4frm8/best_cpu_and_motherboard_for_ai_image_inference/ | ckao1030 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4frm8 | false | null | t3_1e4frm8 | /r/LocalLLaMA/comments/1e4frm8/best_cpu_and_motherboard_for_ai_image_inference/ | false | false | 0 | null | |
Former President Donald Trump’s VP pick J.D. Vance is pro Open source. | 0 | https://x.com/jdvance1/status/1764471399823847525?s=46
https://x.com/teknium1/status/1812948264297340991?s=46 | 2024-07-16T04:13:31 | boldlion73 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1e4ffz8 | false | null | t3_1e4ffz8 | /r/LocalLLaMA/comments/1e4ffz8/former_president_donald_trumps_vp_pick_jd_vance/ | false | false | 0 | {'enabled': True, 'images': [{'id': 'jUC1I2cyZG6vbnpwZpH2BzgyLpJIvMkxtk7Kg_bG1g4', 'resolutions': [{'height': 161, 'url': 'https://preview.redd.it/30v9x4eh3tcd1.jpeg?width=108&crop=smart&auto=webp&s=fe93a1c03f29b734dfbdead9861436ec13e8ea91', 'width': 108}, {'height': 323, 'url': 'https://preview.redd.it/30v9x4eh3tcd1.j... | ||
How to correlate vector search with LLM outputs | 1 | [removed] | 2024-07-16T04:11:31 | https://www.reddit.com/r/LocalLLaMA/comments/1e4feqi/how_to_correlate_vector_search_with_llm_outputs/ | Weary_Sea9679 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4feqi | false | null | t3_1e4feqi | /r/LocalLLaMA/comments/1e4feqi/how_to_correlate_vector_search_with_llm_outputs/ | false | false | self | 1 | null |
Republican Vice President Nominee J.D. Vance Advocates For Open Source A.I. | 1 | 2024-07-16T03:53:02 | https://x.com/JDVance1/status/1764471399823847525 | fission4433 | x.com | 1970-01-01T00:00:00 | 0 | {} | 1e4f2ia | false | null | t3_1e4f2ia | /r/LocalLLaMA/comments/1e4f2ia/republican_vice_president_nominee_jd_vance/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'IaMcs1nWYt7wVakskT1CFf-cXGH01xH1qEbP70XKJic', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/gdx04wyzw3dqsRkvWqcqiXwXcspz1N-itRaIE8w_hJw.jpg?width=108&crop=smart&auto=webp&s=05937167cc173492dbd033d771a7d0dd9cda1caf', 'width': 108}], 'source': {'height': 20... | ||
MMLU Pro: How Different Parameters and Regex Patterns Affect Scores | 10 | To satisfy [my curiosity](https://www.reddit.com/r/LocalLLaMA/comments/1dw8l3j/why_does_mmlu_pro_use_different_parameters_and/) and confirm [the answers](https://www.reddit.com/r/LocalLLaMA/comments/1e04c6e/finally_my_mmlupro_script_update_based_on_the/), I've run comparison tests on llama3-8b-instruct-q8_0 to measure ... | 2024-07-16T03:47:13 | https://www.reddit.com/r/LocalLLaMA/comments/1e4eyoi/mmlu_pro_how_different_parameters_and_regex/ | chibop1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4eyoi | false | null | t3_1e4eyoi | /r/LocalLLaMA/comments/1e4eyoi/mmlu_pro_how_different_parameters_and_regex/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': 'aH6ABE8AsJCYz-9z56r1NHxqO2eszDhrt1v3HXAQ488', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/Cwx1ecB6rb6G-ZbugGIXZ-76DhFRpxqR9Bd7RiCu7tc.jpg?width=108&crop=smart&auto=webp&s=4e5c80d27dec45e02e396b0ea19239302872b455', 'width': 108}, {'height': 108, 'url': 'h... |
"Q-Sparse: All Large Language Models can be Fully Sparsely-Activated" - Wang et al. 2024 | 1 | [removed] | 2024-07-16T03:17:50 | https://www.reddit.com/r/LocalLLaMA/comments/1e4eehz/qsparse_all_large_language_models_can_be_fully/ | ComputroniumMonger | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4eehz | false | null | t3_1e4eehz | /r/LocalLLaMA/comments/1e4eehz/qsparse_all_large_language_models_can_be_fully/ | false | false | self | 1 | null |
What is everyone using for feeding it large data/large RAG to answer questions on? | 1 | [removed] | 2024-07-16T03:05:24 | https://www.reddit.com/r/LocalLLaMA/comments/1e4e5od/what_is_everyone_using_for_feeding_it_large/ | FecklessLizard | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4e5od | false | null | t3_1e4e5od | /r/LocalLLaMA/comments/1e4e5od/what_is_everyone_using_for_feeding_it_large/ | false | false | self | 1 | null |
What is your expectation of LLaMA 3 405B, do you think it will get close to the 3 giants: 3.5 Sonnet, GPT 4o / Turbo and Gemini 1.5 Pro… | 110 | Or even surpass them? | 2024-07-16T02:39:44 | https://www.reddit.com/r/LocalLLaMA/comments/1e4dmru/what_is_your_expectation_of_llama_3_405b_do_you/ | boldlion73 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4dmru | false | null | t3_1e4dmru | /r/LocalLLaMA/comments/1e4dmru/what_is_your_expectation_of_llama_3_405b_do_you/ | false | false | self | 110 | null |
Understanding Attention Window | 6 | Hey all, I’m hosting a Llama3 8B Instruct model on a Triton Inference Server right now, and I was wondering how the parameter `max_attention_window_size` works.
I know that the max context length of Llama3 is 8k tokens, but I was wondering how this parameter works with concurrent requests. I’ve been able to (actually,... | 2024-07-16T02:05:34 | https://www.reddit.com/r/LocalLLaMA/comments/1e4cy6v/understanding_attention_window/ | thepound57 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4cy6v | false | null | t3_1e4cy6v | /r/LocalLLaMA/comments/1e4cy6v/understanding_attention_window/ | false | false | self | 6 | null |
Offloading whisper/whisperx to mobile devices (with diarization) | 1 | [removed] | 2024-07-16T01:37:15 | https://www.reddit.com/r/LocalLLaMA/comments/1e4cd5r/offloading_whisperwhisperx_to_mobile_devices_with/ | tutu-kueh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4cd5r | false | null | t3_1e4cd5r | /r/LocalLLaMA/comments/1e4cd5r/offloading_whisperwhisperx_to_mobile_devices_with/ | false | false | self | 1 | null |
How do Graph RAG search for relevant nodes? | 1 | [removed] | 2024-07-16T01:19:25 | https://www.reddit.com/r/LocalLLaMA/comments/1e4c00b/how_do_graph_rag_search_for_relevant_nodes/ | Babe_My_Name_Is_Hung | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4c00b | false | null | t3_1e4c00b | /r/LocalLLaMA/comments/1e4c00b/how_do_graph_rag_search_for_relevant_nodes/ | false | false | self | 1 | null |
What model has best results for technical writing? Is my approach feasible? | 1 | [removed] | 2024-07-16T01:11:45 | https://www.reddit.com/r/LocalLLaMA/comments/1e4bubg/what_model_has_best_results_for_technical_writing/ | anotherthis | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4bubg | false | null | t3_1e4bubg | /r/LocalLLaMA/comments/1e4bubg/what_model_has_best_results_for_technical_writing/ | false | false | self | 1 | null |
Ollama merges tooling support | 33 | 2024-07-16T01:09:07 | https://github.com/ollama/ollama/pull/5284 | sammcj | github.com | 1970-01-01T00:00:00 | 0 | {} | 1e4bsdw | false | null | t3_1e4bsdw | /r/LocalLLaMA/comments/1e4bsdw/ollama_merges_tooling_support/ | false | false | 33 | {'enabled': False, 'images': [{'id': 'Q9iYDYwLFtiJCpSDUSyOOFueNEJ718QQuCUoay9uWT0', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/DlfiGNHPTY2DSph8DVf4acWvZFQKY6fSkJd0QxWaf7s.jpg?width=108&crop=smart&auto=webp&s=ffb0d130bd909afc49a0aa451bb56ca1b5332dfe', 'width': 108}, {'height': 108, 'url': 'h... | ||
Tesla P40 is too expensive. Here is the next best value. (45$ per 10GB, P102) | 44 | I have been researching a replacement GPU to take the budget value crown for inference. I don't want ANYONE to buy a P40 for over 180$ (They are not worth it). This is exactly why I am making this post. Here is the GPU:
Nvidia **P102-100 10GB.**
This is a Pascal GPU with 10GB of GDDR5X. It will work with Llama.cpp G... | 2024-07-16T00:37:04 | https://www.reddit.com/r/LocalLLaMA/comments/1e4b3n1/tesla_p40_is_too_expensive_here_is_the_next_best/ | My_Unbiased_Opinion | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4b3n1 | false | null | t3_1e4b3n1 | /r/LocalLLaMA/comments/1e4b3n1/tesla_p40_is_too_expensive_here_is_the_next_best/ | false | false | self | 44 | {'enabled': False, 'images': [{'id': 'vlhX9mOPCpXCCzv8TJlEJvjNuHLDEpfiw7tWx1erIgg', 'resolutions': [{'height': 72, 'url': 'https://external-preview.redd.it/EG-4zN-dS_gyj5oMzI0rME5P1Az18UQ5aeeolOFMHWU.jpg?width=108&crop=smart&auto=webp&s=3a4c411d855dc9265d3d899562c65901d355de5c', 'width': 108}, {'height': 144, 'url': 'h... |
difference between ollama and OpenLLM? | 2 | I have used both vllm and ollama as well, and found them both useful. Can someone explain to be what OpenLLM provides? Is there something that I am missing there. On the surface it looks like another UI on top of llama.cpp, but with a better inference server. Is this understand correct? | 2024-07-15T23:51:55 | https://www.reddit.com/r/LocalLLaMA/comments/1e4a4wm/difference_between_ollama_and_openllm/ | fazkan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4a4wm | false | null | t3_1e4a4wm | /r/LocalLLaMA/comments/1e4a4wm/difference_between_ollama_and_openllm/ | false | false | self | 2 | null |
How does an open source LLM nerd get a job? | 1 | [removed] | 2024-07-15T23:48:01 | https://www.reddit.com/r/LocalLLaMA/comments/1e4a1rl/how_does_an_open_source_llm_nerd_get_a_job/ | Chance_Confection_37 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4a1rl | false | null | t3_1e4a1rl | /r/LocalLLaMA/comments/1e4a1rl/how_does_an_open_source_llm_nerd_get_a_job/ | false | false | self | 1 | null |
Desktop specs for Llama 70B on CPU | 1 | I'm trying to build a pc in which I would be able to perform inference on larger models (like llama 70B) with usable performance without breaking the bank.
Having the entire model on VRAM is too expensive for me, I'm hoping that performing inference on CPU will be slow but usable.
Here's a build that is within my bud... | 2024-07-15T23:14:03 | https://www.reddit.com/r/LocalLLaMA/comments/1e49ak4/desktop_specs_for_llama_70b_on_cpu/ | tallesl | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e49ak4 | false | null | t3_1e49ak4 | /r/LocalLLaMA/comments/1e49ak4/desktop_specs_for_llama_70b_on_cpu/ | false | false | self | 1 | null |
How to get a job working with LLMs | 1 | [removed] | 2024-07-15T23:12:40 | https://www.reddit.com/r/LocalLLaMA/comments/1e499dt/how_to_get_a_job_working_with_llms/ | Chance_Confection_37 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e499dt | false | null | t3_1e499dt | /r/LocalLLaMA/comments/1e499dt/how_to_get_a_job_working_with_llms/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'N73XmRMydfqfrlLJlSbruZpXvhVhvrQeqCrBWveds4s', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/RK9yK2cm-48jeCVXJWt89AIr4MAUV852Nfxiq3ayHq8.jpg?width=108&crop=smart&auto=webp&s=5f37df5aebb570d06b39a34fe00b33c1d1959073', 'width': 108}, {'height': 108, 'url': 'h... |
TensorRT-LLM benchmarks difference between tokens_per_sec and generation_tokens_per_second | 1 | [removed] | 2024-07-15T22:04:07 | https://www.reddit.com/r/LocalLLaMA/comments/1e47nz9/tensorrtllm_benchmarks_difference_between_tokens/ | golden_chariot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e47nz9 | false | null | t3_1e47nz9 | /r/LocalLLaMA/comments/1e47nz9/tensorrtllm_benchmarks_difference_between_tokens/ | false | false | self | 1 | null |
Crashbench: a bug finding benchmark | 13 | We conducted a benchmarking exercise to evaluate the capabilities of various local and proprietary Large Language Models (LLMs) in their ability to identify memory corruption bugs within C/C++ code. The benchmark was carried out using a collection of approximately 100 hand-curated test cases, which, while small in size... | 2024-07-15T21:43:35 | https://www.reddit.com/r/LocalLLaMA/comments/1e475vp/crashbench_a_bug_finding_benchmark/ | ortegaalfredo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e475vp | false | null | t3_1e475vp | /r/LocalLLaMA/comments/1e475vp/crashbench_a_bug_finding_benchmark/ | false | false | self | 13 | {'enabled': False, 'images': [{'id': 'xqIO1cWmFYoKYEYa58poXHOIj1CHaXgAnrLgFeYvmts', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/ZMiVQx9DxhJ2D6NpkiWlTSKCPzHdGiK0K4ukqYEffbU.jpg?width=108&crop=smart&auto=webp&s=584f5fcbca71e99279fa75cf95bd467f91d497aa', 'width': 108}, {'height': 108, 'url': 'h... |
Do you run evals for consistency? | 5 | Basically we have a lot of prompts that give an answer as YES,NO,Uncertain, NO info with their explanation.
We run these across diff types of docs.
One thing we are trying to do now is run the same prompt on the same doc multiple times to see if it's consistent (atleast for the yes, no answers) to make sure the promp... | 2024-07-15T21:04:47 | https://www.reddit.com/r/LocalLLaMA/comments/1e4674x/do_you_run_evals_for_consistency/ | phantom69_ftw | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e4674x | false | null | t3_1e4674x | /r/LocalLLaMA/comments/1e4674x/do_you_run_evals_for_consistency/ | false | false | self | 5 | null |
Danube 3 has been released | 68 | [Danube 2](https://www.reddit.com/r/LocalLLaMA/comments/1by6uuf/h2odanube218b_new_top_sub_2b_model_on_open_llm/) has become one of my favourite small models (1.8B), and it seems Danube 3 has been released. This time in a [4B (base & chat)](https://huggingface.co/h2oai/h2o-danube3-4b-base) and [500M (base & chat)](https... | 2024-07-15T20:51:00 | https://www.reddit.com/r/LocalLLaMA/comments/1e45ug2/danube_3_has_been_released/ | privacyparachute | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e45ug2 | false | null | t3_1e45ug2 | /r/LocalLLaMA/comments/1e45ug2/danube_3_has_been_released/ | false | false | self | 68 | {'enabled': False, 'images': [{'id': 'MNme_MjplfS7emJE7taoDVpQkf4WSYLFE4YxinsHr68', 'resolutions': [], 'source': {'height': 48, 'url': 'https://external-preview.redd.it/WQkKv6aqFsL3LBQUNg9I4xf9KfN4Xp1BzrnLnx3VPgM.jpg?auto=webp&s=1eb217f2f8af76b089556aef464e0038dcd189c8', 'width': 48}, 'variants': {}}]} |
Ollama merges OpenAI compatible API endpoint for batch embeddings | 3 | 2024-07-15T20:49:57 | https://github.com/ollama/ollama/pull/5127 | sammcj | github.com | 1970-01-01T00:00:00 | 0 | {} | 1e45tfm | false | null | t3_1e45tfm | /r/LocalLLaMA/comments/1e45tfm/ollama_merges_openai_compatible_api_endpoint_for/ | false | false | 3 | {'enabled': False, 'images': [{'id': 'HmPp1GfvIRpVN_CqRn6zYeeZ-pPxcIEqOFElAIlybeg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/owihOPuD7so80zV2lMjjWTtg1kwNxfvI_rNyGKgc5e0.jpg?width=108&crop=smart&auto=webp&s=5aa94c6945d8f6c5a2b9c26ab4a85bcc29a15b1d', 'width': 108}, {'height': 108, 'url': 'h... | ||
Whisper.cpp+CUDA+Windows | 1 | [removed] | 2024-07-15T20:09:33 | https://www.reddit.com/r/LocalLLaMA/comments/1e44sm7/whispercppcudawindows/ | pafagaukurinn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e44sm7 | false | null | t3_1e44sm7 | /r/LocalLLaMA/comments/1e44sm7/whispercppcudawindows/ | false | false | self | 1 | null |
Introducing Token.js: Integrate 60+ LLMs with one TypeScript SDK | 1 | [removed] | 2024-07-15T20:06:37 | https://www.reddit.com/r/LocalLLaMA/comments/1e44pyp/introducing_tokenjs_integrate_60_llms_with_one/ | sam-goldman | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e44pyp | false | null | t3_1e44pyp | /r/LocalLLaMA/comments/1e44pyp/introducing_tokenjs_integrate_60_llms_with_one/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'HeCgcKl7VPnEXB7GbQvd6cfq6RWye7uoEcOWgYIRnNU', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/GVswNfOAdC5zNs8fgX6N0M7uWVrX1fCSKVKz6JVG7O0.jpg?width=108&crop=smart&auto=webp&s=20754ea393a462d8ddb3cb6f70ddc2025745f133', 'width': 108}, {'height': 113, 'url': 'h... |
What platform are you using to run LLMs? | 27 | I'm really curious what people are using these days to run LLMs? I use a mac for the most part because it's way cheaper to get a large amount of unified memory than 5 3090s or 4090s.
| 2024-07-15T19:55:08 | https://www.reddit.com/r/LocalLLaMA/comments/1e44f3v/what_platform_are_you_using_to_run_llms/ | Vegetable_Sun_9225 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e44f3v | false | null | t3_1e44f3v | /r/LocalLLaMA/comments/1e44f3v/what_platform_are_you_using_to_run_llms/ | false | false | self | 27 | null |
Current recommended model for local python coding with a 3090? | 5 | Last I knew, Codebooga was the way to go, but that was months ago and I've fallen behind. For what it's worth I have an RTX 3090 (24gb), a 9th gen I7, and 32 gig of ram.
My current project I'm pursuing involves downloading the html docs of a project (godot engine in this case) and writing python code that can boil it ... | 2024-07-15T19:38:27 | https://www.reddit.com/r/LocalLLaMA/comments/1e43zmi/current_recommended_model_for_local_python_coding/ | MrWeirdoFace | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e43zmi | false | null | t3_1e43zmi | /r/LocalLLaMA/comments/1e43zmi/current_recommended_model_for_local_python_coding/ | false | false | self | 5 | null |
The Kek of Destiny: The Next Generation Mamba 4chan | 34 | Hey everyone,
With the recent release of Mamba 2, I decided to take a shot at training the next generation of Mamba 4chan. Based on the feedback regarding the small size of the original Mamba 4chan, I dedicated over 100 hours on my personal PC to train a larger model this time.
You can check out the repository [here]... | 2024-07-15T19:16:30 | https://www.reddit.com/r/LocalLLaMA/comments/1e43fc3/the_kek_of_destiny_the_next_generation_mamba_4chan/ | catalpaaa | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e43fc3 | false | null | t3_1e43fc3 | /r/LocalLLaMA/comments/1e43fc3/the_kek_of_destiny_the_next_generation_mamba_4chan/ | false | false | self | 34 | {'enabled': False, 'images': [{'id': 'aPC6t6Rec6buMBmITYcUrA7jVH2v8Ku7kW-fUrLofx8', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/P5xbI_n5YYv1Lqg_9FMYnLhUwGUxoYn4KWoeFhV_HlU.jpg?width=108&crop=smart&auto=webp&s=575fad4f8f9b8cdb06a0219d652ebfc6e8fcf702', 'width': 108}, {'height': 108, 'url': 'h... |
txtai 7.3 released: Adds new RAG front-end template, streaming LLM and streaming RAG support along with significant text extraction improvements | 94 | 2024-07-15T19:09:10 | davidmezzetti | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1e438fk | false | null | t3_1e438fk | /r/LocalLLaMA/comments/1e438fk/txtai_73_released_adds_new_rag_frontend_template/ | false | false | 94 | {'enabled': True, 'images': [{'id': 't7rEe7HvieTnvJDh45I4JfgYwZ6K02N08pwVO3IsTEE', 'resolutions': [{'height': 54, 'url': 'https://preview.redd.it/fq1hxmgbeqcd1.png?width=108&crop=smart&auto=webp&s=135ca0536c7756385b6282acad30c2129e36e6f9', 'width': 108}, {'height': 109, 'url': 'https://preview.redd.it/fq1hxmgbeqcd1.png... | |||
Why is there so little talk about Databricks instruct? | 29 | I've been looking for (large) multilingual models that support long context windows. This because I work with large (legal) files and the model used must be able to answer questions about it and base its answers on the provided context (reasoning).
I started with Deepseek 67B, which was quite good, even when forced t... | 2024-07-15T19:00:32 | https://www.reddit.com/r/LocalLLaMA/comments/1e43092/why_is_there_so_little_talk_about_databricks/ | vincentbosch | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e43092 | false | null | t3_1e43092 | /r/LocalLLaMA/comments/1e43092/why_is_there_so_little_talk_about_databricks/ | false | false | self | 29 | null |
Introducing Token.js: Integrate 60+ LLMs with one TypeScript SDK | 1 | [removed] | 2024-07-15T18:55:19 | https://www.reddit.com/r/LocalLLaMA/comments/1e42vgs/introducing_tokenjs_integrate_60_llms_with_one/ | sam-goldman | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e42vgs | false | null | t3_1e42vgs | /r/LocalLLaMA/comments/1e42vgs/introducing_tokenjs_integrate_60_llms_with_one/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'HeCgcKl7VPnEXB7GbQvd6cfq6RWye7uoEcOWgYIRnNU', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/GVswNfOAdC5zNs8fgX6N0M7uWVrX1fCSKVKz6JVG7O0.jpg?width=108&crop=smart&auto=webp&s=20754ea393a462d8ddb3cb6f70ddc2025745f133', 'width': 108}, {'height': 113, 'url': 'h... |
Building a code question answering pipeline with Swiftide in Rust | 1 | 2024-07-15T18:35:55 | https://bosun.ai/posts/indexing-and-querying-code-with-swiftide/ | timonvonk | bosun.ai | 1970-01-01T00:00:00 | 0 | {} | 1e42dzu | false | null | t3_1e42dzu | /r/LocalLLaMA/comments/1e42dzu/building_a_code_question_answering_pipeline_with/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'n8sRO-8AAytgXhw2yn1ZulXqJ7HE5gZbl6FzzlFXWj0', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/bszB2ZWowpZVBI8z3SSaF3-0qgsXkkhy_Pm5VRRA9E8.jpg?width=108&crop=smart&auto=webp&s=a7c9bde25fc2cdf290205aaaed95bbfb7f4bff0a', 'width': 108}, {'height': 113, 'url': 'h... | ||
Seeking High-Quality Roleplay Datasets for Creative Writing LLM | 23 | Greetings, fellow AI enthusiasts and researchers,
I'm currently working on an LLM for creative writing (SicariusSicariiStuff/LLAMA-3\_8B\_Unaligned), and I'd like it to also have some roleplay capabilities. My goal is to leverage the unique textual data I'm creating to enhance the model's performance in both creative ... | 2024-07-15T18:21:30 | https://www.reddit.com/r/LocalLLaMA/comments/1e420vd/seeking_highquality_roleplay_datasets_for/ | Sicarius_The_First | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e420vd | false | null | t3_1e420vd | /r/LocalLLaMA/comments/1e420vd/seeking_highquality_roleplay_datasets_for/ | false | false | self | 23 | null |
PDF Parsing | 7 | I'm working on Llamaparse for pdf parsing and what I want to achieve is that the parsed markdown text should be in such a way that the heading and subheadings both should start with the # because I want to chunk the text accordingly.But not all subheadings are starting with # so what app approach I can use?
Like in t... | 2024-07-15T17:51:36 | https://www.reddit.com/r/LocalLLaMA/comments/1e419x1/pdf_parsing/ | drenemy_237 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e419x1 | false | null | t3_1e419x1 | /r/LocalLLaMA/comments/1e419x1/pdf_parsing/ | false | false | self | 7 | null |
Llama 3 400B release date | 156 | This is a good opportunity to present this biggest model ever released for the community. | 2024-07-15T17:50:30 | No_Palpitation7740 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1e418vj | false | null | t3_1e418vj | /r/LocalLLaMA/comments/1e418vj/llama_3_400b_release_date/ | false | false | 156 | {'enabled': True, 'images': [{'id': 'eKcdfkP7iIgQYPUJsjI6s83zdT248kkfA_BHQ7v0bas', 'resolutions': [{'height': 157, 'url': 'https://preview.redd.it/5bwavc6c0qcd1.jpeg?width=108&crop=smart&auto=webp&s=6622ea666126f332e63d994852c0d6efabeb0c67', 'width': 108}, {'height': 315, 'url': 'https://preview.redd.it/5bwavc6c0qcd1.j... | ||
Step-By-Step Tutorial: How to Fine-tune Llama 3 (8B) with Unsloth + Google Colab & deploy it to Ollama | 254 | By the end of this tutorial, you will create a custom chatbot by **finetuning Llama-3** with [**Unsloth**](https://github.com/unslothai/unsloth) for free. It can run via [**Ollama**](https://github.com/ollama/ollama) locally on your computer, or in a free GPU instance through [**Google Colab**](https://colab.research.g... | 2024-07-15T17:47:53 | https://www.reddit.com/r/LocalLLaMA/comments/1e416fo/stepbystep_tutorial_how_to_finetune_llama_3_8b/ | yoracale | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e416fo | false | null | t3_1e416fo | /r/LocalLLaMA/comments/1e416fo/stepbystep_tutorial_how_to_finetune_llama_3_8b/ | false | false | 254 | {'enabled': False, 'images': [{'id': 'xFccsqpyfDSeoB1Q_XLMExdoWQJU1wZ5ERzslEWS1pg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/53iHQLnrwmm5Q49JCkR1y2kbgGVHxPnTe4z-SiYnfoU.jpg?width=108&crop=smart&auto=webp&s=2ba10e23727c8db62b005e25727c763efc943115', 'width': 108}, {'height': 108, 'url': 'h... | |
best 7-8b or near this weight amount finetunes? | 1 | [removed] | 2024-07-15T17:21:38 | https://www.reddit.com/r/LocalLLaMA/comments/1e40i6a/best_78b_or_near_this_weight_amount_finetunes/ | sans_the_comicc | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e40i6a | false | null | t3_1e40i6a | /r/LocalLLaMA/comments/1e40i6a/best_78b_or_near_this_weight_amount_finetunes/ | false | false | self | 1 | null |
Large Language Model that Identifies the Type of text in a document | 8 | Hello everyone! I am looking for an LLM that can infer the type of chunk it is processing. For example, a PDF file can contain plain text, tables, or figures. Is there an LLM that can identify the underlying type of text? Thank you for your help! | 2024-07-15T17:18:13 | https://www.reddit.com/r/LocalLLaMA/comments/1e40f4u/large_language_model_that_identifies_the_type_of/ | ias18 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e40f4u | false | null | t3_1e40f4u | /r/LocalLLaMA/comments/1e40f4u/large_language_model_that_identifies_the_type_of/ | false | false | self | 8 | null |
Default search method in ChromDB while performing similarity_search() | 1 | What is the default search metric while using:
similarity_search()
Also, can I explicitly give my own metrics, what are the other metrics available for ChromaDB?
Link to the method: [https://api.python.langchain.com/en/latest/vectorstores/langchain\_community.vectorstores.chroma.Chroma.html#langchain\_community.... | 2024-07-15T17:10:19 | https://www.reddit.com/r/LocalLLaMA/comments/1e407tg/default_search_method_in_chromdb_while_performing/ | xandie985 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e407tg | false | null | t3_1e407tg | /r/LocalLLaMA/comments/1e407tg/default_search_method_in_chromdb_while_performing/ | false | false | self | 1 | null |
Where is Dalle 4 and Midjourney V7? Have image generation models stalled? | 0 | Title | 2024-07-15T17:09:56 | https://www.reddit.com/r/LocalLLaMA/comments/1e407es/where_is_dalle_4_and_midjourney_v7_have_image/ | boldlion73 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e407es | false | null | t3_1e407es | /r/LocalLLaMA/comments/1e407es/where_is_dalle_4_and_midjourney_v7_have_image/ | false | false | self | 0 | null |
Introducing ARTKIT (Automated Red Teaming Kit) for GenAI testing and evaluation | 1 | [removed] | 2024-07-15T16:45:36 | https://www.reddit.com/r/LocalLLaMA/comments/1e3zkuq/introducing_artkit_automated_red_teaming_kit_for/ | Academic-Werewolf-85 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3zkuq | false | null | t3_1e3zkuq | /r/LocalLLaMA/comments/1e3zkuq/introducing_artkit_automated_red_teaming_kit_for/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'RTZGXXa8pi56VpjtSd_f2myJ9uhNtaDF1knx8PoR3Bg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/nxhBQnLNhSD3Ul5_rNPq-XnwuLvlRlJ3-KWVY8uMZ-A.jpg?width=108&crop=smart&auto=webp&s=7d4b7815622e3164a5c8ebf4db6db52a0fb9deda', 'width': 108}, {'height': 108, 'url': 'h... |
Don't use numeric scores when grading task outputs for system evals | 18 | Just a short PSA for anyone doing system evals: LLMs aren’t very good at giving numeric judgments for evals on task outputs. For that matter, neither are humans.
I found this weird at first, but when I thought about my experience with surveying software, it made sense. Not sure who needs to hear it, but just in case.
... | 2024-07-15T16:35:49 | https://www.reddit.com/r/LocalLLaMA/comments/1e3zc3v/dont_use_numeric_scores_when_grading_task_outputs/ | iamwil | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3zc3v | false | null | t3_1e3zc3v | /r/LocalLLaMA/comments/1e3zc3v/dont_use_numeric_scores_when_grading_task_outputs/ | false | false | self | 18 | null |
Why are some LMs not trained with the EOS token? | 1 | [removed] | 2024-07-15T16:24:12 | https://www.reddit.com/r/LocalLLaMA/comments/1e3z1lz/why_are_some_lms_not_trained_with_the_eos_token/ | akardashian | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3z1lz | false | null | t3_1e3z1lz | /r/LocalLLaMA/comments/1e3z1lz/why_are_some_lms_not_trained_with_the_eos_token/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'QpXcDoqRFuyOuk4lYMybiIXgHUGKu75O29h_4ijuZ4A', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/mX8XQKD7uXeBgRCZ0qdubesch0a2myeUlV8wrjTJzRo.jpg?width=108&crop=smart&auto=webp&s=718d2c0845108480d9235516fdc93c51c152c117', 'width': 108}, {'height': 108, 'url': 'h... |
RTX A6000 + 3090 PC Build | 3 | I recently got a RTX A6000 and I already have 3090 that I want to build a PC dedicated to running an inference server for larger models like WizardLM2-8X22B and Command R+ etc. I want to minimize cost and size if possible. What are some case and CPU + Ram configuration recommendations I should consider? Also any tips w... | 2024-07-15T16:17:20 | https://www.reddit.com/r/LocalLLaMA/comments/1e3yvbq/rtx_a6000_3090_pc_build/ | Joshsp87 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3yvbq | false | null | t3_1e3yvbq | /r/LocalLLaMA/comments/1e3yvbq/rtx_a6000_3090_pc_build/ | false | false | self | 3 | null |
[HELP/ IDEAS NEEDED] I have a llama 2 chat model working locally i want the model to take a CSV file as an input and give an output in text form like paragraphs | 1 | [removed] | 2024-07-15T16:16:02 | https://www.reddit.com/r/LocalLLaMA/comments/1e3yu2z/help_ideas_needed_i_have_a_llama_2_chat_model/ | Cultural-Educator-43 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3yu2z | false | null | t3_1e3yu2z | /r/LocalLLaMA/comments/1e3yu2z/help_ideas_needed_i_have_a_llama_2_chat_model/ | false | false | self | 1 | null |
[HELP/ IDEAS NEEDED] I have a llama 2 chat model working locally i want the model to take a CSV file as an input and give an output in text form like paragraphs | 1 | [removed] | 2024-07-15T16:14:33 | https://www.reddit.com/r/LocalLLaMA/comments/1e3ysrx/help_ideas_needed_i_have_a_llama_2_chat_model/ | Cultural-Educator-43 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3ysrx | false | null | t3_1e3ysrx | /r/LocalLLaMA/comments/1e3ysrx/help_ideas_needed_i_have_a_llama_2_chat_model/ | false | false | nsfw | 1 | null |
How much system RAM needed when running LLMs that can fit in GPU VRAM? | 7 | I've always been confused with why and how much system RAM is needed if the size of the LLM can fit comfortably in VRAM. For my case, I only have 32GB system RAM, but have 35GB VRAM (2 GPUs). Anytime I run a model, my system RAM gets maxed out, even though the model I'm using in VRAM is 27.2GB. I've heard this has t... | 2024-07-15T16:01:08 | https://www.reddit.com/r/LocalLLaMA/comments/1e3yghg/how_much_system_ram_needed_when_running_llms_that/ | DoNotDisturb____ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3yghg | false | null | t3_1e3yghg | /r/LocalLLaMA/comments/1e3yghg/how_much_system_ram_needed_when_running_llms_that/ | false | false | self | 7 | null |
Fine tuned a model to speak like albus Dumbledore :LOL: | 5 | Just for fun folks, trained a model on dumbledore's dialogue styles, came out to be pretty funny :LOL:
'professor what should i do when i am stuck in life?';
model: "That's an interesting question, . Let me think..."
😬
"Thinking..."
😬
"Well, you see, , when life gets you down, somet... | 2024-07-15T15:57:45 | https://www.reddit.com/r/LocalLLaMA/comments/1e3yd8e/fine_tuned_a_model_to_speak_like_albus_dumbledore/ | Key-Employment-1810 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3yd8e | false | null | t3_1e3yd8e | /r/LocalLLaMA/comments/1e3yd8e/fine_tuned_a_model_to_speak_like_albus_dumbledore/ | false | false | self | 5 | null |
Im looking for a local setup to run on my computer offline to use technical questions to an AI. I Have a good computer, what are my best options? | 1 | [removed] | 2024-07-15T15:39:19 | https://www.reddit.com/r/LocalLLaMA/comments/1e3xwfz/im_looking_for_a_local_setup_to_run_on_my/ | LuminousDragon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3xwfz | false | null | t3_1e3xwfz | /r/LocalLLaMA/comments/1e3xwfz/im_looking_for_a_local_setup_to_run_on_my/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'yIWNK0Wd27d_e4Kj6eDSJ8xeKB5zvIaensr6yTh3jNk', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/UWf_yszFEyUp7EWuzQQ8Zid0y4VCdNsn9uUg17AQuWE.jpg?width=108&crop=smart&auto=webp&s=8b406b75100f60b3d9069af228f5b82af70e781f', 'width': 108}, {'height': 116, 'url': 'h... |
How to run LLAMA 3 locally | 1 | [removed] | 2024-07-15T15:38:13 | https://www.reddit.com/r/LocalLLaMA/comments/1e3xvfi/how_to_run_llama_3_locally/ | Bored_om1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3xvfi | false | null | t3_1e3xvfi | /r/LocalLLaMA/comments/1e3xvfi/how_to_run_llama_3_locally/ | false | false | self | 1 | null |
SCALE: Compile unmodified CUDA code for AMD GPUs | 119 | [https://scale-lang.com/](https://scale-lang.com/) | 2024-07-15T15:36:56 | https://www.reddit.com/r/LocalLLaMA/comments/1e3xu8a/scale_compile_unmodified_cuda_code_for_amd_gpus/ | SpectralCompute | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3xu8a | false | null | t3_1e3xu8a | /r/LocalLLaMA/comments/1e3xu8a/scale_compile_unmodified_cuda_code_for_amd_gpus/ | false | false | self | 119 | null |
How do yall go about finding the optimal parameters for fine-tuning a model ? | 16 | I know it's an iterative approach but how is your process in finding the best parameters to get the best performance? | 2024-07-15T15:32:06 | https://www.reddit.com/r/LocalLLaMA/comments/1e3xps6/how_do_yall_go_about_finding_the_optimal/ | -S-I-D- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3xps6 | false | null | t3_1e3xps6 | /r/LocalLLaMA/comments/1e3xps6/how_do_yall_go_about_finding_the_optimal/ | false | false | self | 16 | null |
WizardLM just released a new paper named Auto Evol-Instruct | 87 |
[(6) WizardLM on X: "🧙♀️Auto Evol-Instruct is another key method of WizardLM-2! 🚀And this is the 2nd new July release of WizardLM Team! 📚If you want to know how we build the fully AI-Powered Instruction synthesis pipeline, please refer to this breakthrough paper: https://t.co/wQzEGqoAXJ https://t.co/M4PUjPFHPe" ... | 2024-07-15T15:02:18 | https://www.reddit.com/r/LocalLLaMA/comments/1e3wzew/wizardlm_just_released_a_new_paper_named_auto/ | Confident-Ad-5753 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3wzew | false | null | t3_1e3wzew | /r/LocalLLaMA/comments/1e3wzew/wizardlm_just_released_a_new_paper_named_auto/ | false | false | 87 | {'enabled': False, 'images': [{'id': 'ZEDW3Lc75LHM4w3ua-9b4_EVGDN6dGSfxHE0hsKws3s', 'resolutions': [{'height': 49, 'url': 'https://external-preview.redd.it/LyvracUaZTnj2FpXJ_u96ymOXFDeAWhGhlo_1-jUQQA.jpg?width=108&crop=smart&auto=webp&s=1b3927262387301316f841d9ce8ccbed55a5de5f', 'width': 108}, {'height': 99, 'url': 'ht... | |
Prompt engineering for structured (and other) tasks. Lessons learned | 15 | * iteratively and trying to achieve what I want, so it helps to know what you expect in the response
* example - you are doing categorization using LLM and you know the ground truth classes. so you iterate until the quality is good. usual ML stuff
* try different approaches and try to find patterns in how the mode... | 2024-07-15T14:13:27 | https://www.reddit.com/r/LocalLLaMA/comments/1e3vt8u/prompt_engineering_for_structured_and_other_tasks/ | andy-che | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3vt8u | false | null | t3_1e3vt8u | /r/LocalLLaMA/comments/1e3vt8u/prompt_engineering_for_structured_and_other_tasks/ | false | false | self | 15 | null |
llama-cpp-python newest version, my gemma2-27B is talking gibberish. | 0 | Hellllllllp\~
Guys I tried really hard to solve the problem here. This is a pretty new version of Gemma 2 and has a lot of download on hugging face.
Replicate:
llama-cpp-python:
"0.2.82"
CPU only inference
code as following:
# Load model
from llama_cpp import Llama
llm = Llama(
... | 2024-07-15T14:02:25 | https://www.reddit.com/r/LocalLLaMA/comments/1e3vjwg/llamacpppython_newest_version_my_gemma227b_is/ | T0beyi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3vjwg | false | null | t3_1e3vjwg | /r/LocalLLaMA/comments/1e3vjwg/llamacpppython_newest_version_my_gemma227b_is/ | false | false | self | 0 | null |
Using logprobs to evaluate responses | 1 | I'm investigating the usefulness of log probs to evaluation LLM output - specifically cumulative ones.
Articles etc suggest that log probs provide some indication of a models ahem "confidence" in the answer. A crude measure sure, but that's how its pitched.
Experiments suggest that it's utterly unusable though. Comp... | 2024-07-15T13:26:35 | https://www.reddit.com/r/LocalLLaMA/comments/1e3ur1z/using_logprobs_to_evaluate_responses/ | AnomalyNexus | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3ur1z | false | null | t3_1e3ur1z | /r/LocalLLaMA/comments/1e3ur1z/using_logprobs_to_evaluate_responses/ | false | false | self | 1 | null |
Mixture of A Million Experts | 1 | [removed] | 2024-07-15T13:11:54 | https://www.reddit.com/r/LocalLLaMA/comments/1e3ufz7/mixture_of_a_million_experts/ | Head_Beautiful_6603 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3ufz7 | false | null | t3_1e3ufz7 | /r/LocalLLaMA/comments/1e3ufz7/mixture_of_a_million_experts/ | false | false | self | 1 | null |
All the Activations (a history of activation functions) | 34 | As part of an informal review, I wrote up a history (with pdf links) of the activation functions, leading up to the current state of activation functions used in modern LLMs | 2024-07-15T13:04:53 | https://dublog.net/blog/all-the-activations/ | RogueStargun | dublog.net | 1970-01-01T00:00:00 | 0 | {} | 1e3uaup | false | null | t3_1e3uaup | /r/LocalLLaMA/comments/1e3uaup/all_the_activations_a_history_of_activation/ | false | false | default | 34 | null |
what are your favorite tools that expose a local API similar to Ollama? | 1 | [removed] | 2024-07-15T12:38:50 | https://www.reddit.com/r/LocalLLaMA/comments/1e3trg7/what_are_your_favorite_tools_that_expose_a_local/ | metjm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3trg7 | false | null | t3_1e3trg7 | /r/LocalLLaMA/comments/1e3trg7/what_are_your_favorite_tools_that_expose_a_local/ | false | false | self | 1 | null |
Best models for multimodal classifier? | 2 | I'm trying to make a "relatively" lightweight image, audio, & text classifier.
I figure for something like this could be done by fine-tuning a pretrained multimodal llm, but I'm struggling with which pretrained models to start with.
| 2024-07-15T12:23:07 | https://www.reddit.com/r/LocalLLaMA/comments/1e3tgbp/best_models_for_multimodal_classifier/ | 30299578815310 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3tgbp | false | null | t3_1e3tgbp | /r/LocalLLaMA/comments/1e3tgbp/best_models_for_multimodal_classifier/ | false | false | self | 2 | null |
How do I deal with OOM issue when trying to load the llama 3 8B model? | 1 | [removed] | 2024-07-15T11:58:42 | https://www.reddit.com/r/LocalLLaMA/comments/1e3sz1v/how_do_i_deal_with_oom_issue_when_trying_to_load/ | Hito-san | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1e3sz1v | false | null | t3_1e3sz1v | /r/LocalLLaMA/comments/1e3sz1v/how_do_i_deal_with_oom_issue_when_trying_to_load/ | false | false | self | 1 | null |
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