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Do ollama/llama.cpp divide the model into chunks? | 3 | I had been trying to run the Gemma 2B model using pytorch on my laptop with a GTX 1650Ti (4GB VRAM). However, the model doesn't run because of shortage of memory. Meanwhile tools like ollama or llama.cpp are very well able to run even bigger models than this one. Don't know how correct my assumption is but maybe they a... | 2024-04-08T07:59:09 | https://www.reddit.com/r/LocalLLaMA/comments/1bys9p7/do_ollamallamacpp_divide_the_model_into_chunks/ | MT1699 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bys9p7 | false | null | t3_1bys9p7 | /r/LocalLLaMA/comments/1bys9p7/do_ollamallamacpp_divide_the_model_into_chunks/ | false | false | self | 3 | null |
How are you deploying your embedding models & reranking models? | 2 | Hello Folks,
I got this question on the Slack community(MLOpsCommunity) and want to understand it more.
Apart from the vanilla approaches, such as using transformers/ sentence-transformers + triton-server inference, What other options do we have? | 2024-04-08T07:35:43 | https://www.reddit.com/r/LocalLLaMA/comments/1byry0x/how_are_you_deploying_your_embedding_models/ | rbgo404 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byry0x | false | null | t3_1byry0x | /r/LocalLLaMA/comments/1byry0x/how_are_you_deploying_your_embedding_models/ | false | false | self | 2 | null |
New guy here. Is there a means to allow access to current data on the internet? | 4 | I'm running Mistral 7b on my unraid server just learning about everything. Having a blast. Current events and whatnot are older. Are there any models that can have access to the internet to bring back the data it needs and generate the data you'd want? | 2024-04-08T07:29:40 | https://www.reddit.com/r/LocalLLaMA/comments/1byruze/new_guy_here_is_there_a_means_to_allow_access_to/ | MartiniCommander | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byruze | false | null | t3_1byruze | /r/LocalLLaMA/comments/1byruze/new_guy_here_is_there_a_means_to_allow_access_to/ | false | false | self | 4 | null |
Need a review of my learning speed - Andrej's NN hero to zero series | 1 | Hey there. Maybe this is a bit off topic question- but here goes.
I have recently got very interested into the LLM space (for obv reasons). I am a 1 year experienced software engineer who has primarily worked on RAG stack till now.
I want to go deeper on the LLM fine tuning and base model training side. I started on ... | 2024-04-08T07:27:07 | https://www.reddit.com/r/LocalLLaMA/comments/1byrtqi/need_a_review_of_my_learning_speed_andrejs_nn/ | bethe09 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byrtqi | false | null | t3_1byrtqi | /r/LocalLLaMA/comments/1byrtqi/need_a_review_of_my_learning_speed_andrejs_nn/ | false | false | self | 1 | null |
Windows, local, RAG | 0 | I am not terribly tech-savvy, but I find myself in need of a local LLM that can handle RAG, so that I can query it on local documents. I have been looking for something that would allow me to accomplish this, and while H2oGPT got close it simply didn't work well enough. I can't with cloning github repositories or prete... | 2024-04-08T06:39:36 | https://www.reddit.com/r/LocalLLaMA/comments/1byr43f/windows_local_rag/ | Sierbahnn | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byr43f | false | null | t3_1byr43f | /r/LocalLLaMA/comments/1byr43f/windows_local_rag/ | false | false | self | 0 | null |
What LLM is the most unrestricted in your experience? | 144 | I'm looking for LLMs that are not restricted - so no content limitations, no disclaimers, no hedging. What do you think the best LLMs are for being unrestricted? | 2024-04-08T06:36:24 | https://www.reddit.com/r/LocalLLaMA/comments/1byr2h8/what_llm_is_the_most_unrestricted_in_your/ | blackberrydoughnuts | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byr2h8 | false | null | t3_1byr2h8 | /r/LocalLLaMA/comments/1byr2h8/what_llm_is_the_most_unrestricted_in_your/ | false | false | self | 144 | null |
Best LLM to transform prompts into JSON queries | 4 | I am working on a project that requires me to process a large JSON file, and I need to convert user prompts into JSON paths to access specific data points. I have been using [Llama Index JSON Query Engine](https://docs.llamaindex.ai/en/stable/examples/query_engine/json_query_engine/), but I am struggling to generate va... | 2024-04-08T06:24:10 | https://www.reddit.com/r/LocalLLaMA/comments/1byqvu2/best_llm_to_transform_prompts_into_json_queries/ | Lucerna_juris | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byqvu2 | false | null | t3_1byqvu2 | /r/LocalLLaMA/comments/1byqvu2/best_llm_to_transform_prompts_into_json_queries/ | false | false | self | 4 | null |
Local voice assistant? | 1 | [removed] | 2024-04-08T03:46:09 | https://www.reddit.com/r/LocalLLaMA/comments/1byo5xx/local_voice_assistant/ | tolltravelogue | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byo5xx | false | null | t3_1byo5xx | /r/LocalLLaMA/comments/1byo5xx/local_voice_assistant/ | false | false | self | 1 | null |
Nvidia Tesla P100 Specs vs Nvidia RTX 4060ti 16GB Specs | 32 | ​
|Specification|Tesla P100 16GB|RTX 4060ti 16GB|
|:-|:-|:-|
|NVIDIA CUDA® Cores|3584|4352|
|Double-Precision Performance|4.7 TeraFLOPS|0.236 TeraFLOPS|
|Single-Precision Performance|9.3 TeraFLOPS|15 TeraFLOPS|
|Half-Precision Performance|18.7 TeraFLOPS|15 TeraFLOPS|
|GPU Memory|732 GB/s|288 GB/sec|
​
... | 2024-04-08T03:13:10 | https://www.reddit.com/r/LocalLLaMA/comments/1bynj77/nvidia_tesla_p100_specs_vs_nvidia_rtx_4060ti_16gb/ | zerof3565 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bynj77 | false | null | t3_1bynj77 | /r/LocalLLaMA/comments/1bynj77/nvidia_tesla_p100_specs_vs_nvidia_rtx_4060ti_16gb/ | false | false | self | 32 | null |
How to save chat history for a conversational style AI chatbot in AWS Bedrock | 1 | [removed] | 2024-04-08T03:12:05 | https://www.reddit.com/r/LocalLLaMA/comments/1byniho/how_to_save_chat_history_for_a_conversational/ | redd-dev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byniho | false | null | t3_1byniho | /r/LocalLLaMA/comments/1byniho/how_to_save_chat_history_for_a_conversational/ | false | false | self | 1 | null |
How to save chat history for a conversational style Al chatbot in AWS Bedrock | 1 | [removed] | 2024-04-08T03:10:26 | https://www.reddit.com/r/LocalLLaMA/comments/1bynhbr/how_to_save_chat_history_for_a_conversational/ | lc19- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bynhbr | false | null | t3_1bynhbr | /r/LocalLLaMA/comments/1bynhbr/how_to_save_chat_history_for_a_conversational/ | false | false | self | 1 | null |
finetuning a local llm with glaive function calling dataset on an MX processor | 4 | I have an M2 and I was able to follow these steps to fine-tune an LLM ([https://apeatling.com/articles/part-3-fine-tuning-your-llm-using-the-mlx-framework/](https://apeatling.com/articles/part-3-fine-tuning-your-llm-using-the-mlx-framework/)) , but I don't think it will work with the glaive dataset, [https://huggingfac... | 2024-04-08T02:39:45 | https://www.reddit.com/r/LocalLLaMA/comments/1bymv6i/finetuning_a_local_llm_with_glaive_function/ | Jamb9876 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bymv6i | false | null | t3_1bymv6i | /r/LocalLLaMA/comments/1bymv6i/finetuning_a_local_llm_with_glaive_function/ | false | false | self | 4 | null |
Open(ish) licenses recap and discussion. | 23 | "XYZ model isn't *truly* opensource"
We hear that a lot, and it is often true. But I'd like to sidestep the question of "what is open source", and discuss instead:
**What licenses do we want to see open(ish) projects offer, in order to align incentives properly to have more AI in more ppls hands?**
I personally see ... | 2024-04-08T02:34:23 | https://www.reddit.com/r/LocalLLaMA/comments/1bymr57/openish_licenses_recap_and_discussion/ | NeuralLambda | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bymr57 | false | null | t3_1bymr57 | /r/LocalLLaMA/comments/1bymr57/openish_licenses_recap_and_discussion/ | false | false | self | 23 | null |
Command R Plus (104B) working with Ollama using forked llama.cpp | 47 | Compiling llama.cpp using the branch from the PR to add Command R Plus support ([https://github.com/ggerganov/llama.cpp/pull/6491#issuecomment-2041734889](https://github.com/ggerganov/llama.cpp/pull/6491#issuecomment-2041734889)) I was able to recompile Ollama and create an Ollama model from my quantized GGUF of Comman... | 2024-04-08T02:17:47 | https://www.reddit.com/r/LocalLLaMA/comments/1bymeyw/command_r_plus_104b_working_with_ollama_using/ | sammcj | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bymeyw | false | null | t3_1bymeyw | /r/LocalLLaMA/comments/1bymeyw/command_r_plus_104b_working_with_ollama_using/ | false | false | self | 47 | {'enabled': False, 'images': [{'id': 'eWsQ-GB1Qu9GZ0LCUOKks5T32mXyO6FaXMlYiGMLpmo', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/DqofTjEgefFkyI3vOG7j3cV5Uq0eFbLJ_zPhMG12aOg.jpg?width=108&crop=smart&auto=webp&s=bbfd58a6772ed87d7b818b331ec4fffcec2c61f1', 'width': 108}, {'height': 108, 'url': 'h... |
Compatibility Layer for Multiple LLM Services (including Ollama) | 4 | So I've been working with a lot of local llm stuff for a while and testing various providers etc and it's been challenging to run various solutions due to lack of JSON or function calling or various quirks.
I decided to throw together a quick local proxy / compatibility layer so I can test things like Ollama function... | 2024-04-08T01:33:39 | https://www.reddit.com/r/LocalLLaMA/comments/1bylhzp/compatibility_layer_for_multiple_llm_services/ | atrfx | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bylhzp | false | null | t3_1bylhzp | /r/LocalLLaMA/comments/1bylhzp/compatibility_layer_for_multiple_llm_services/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'ZOmgoaKLFV2vEVyg9MGoK2mr2fVRp72hVKNqhFOGrYY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/82woXo1IZIOX3LauiaQafRq6YgtmWYfbV07Fxq5arGU.jpg?width=108&crop=smart&auto=webp&s=278c770c9db95f3f4f31d285afeba4cef1544087', 'width': 108}, {'height': 108, 'url': 'h... |
Recommendatios for an LLM-Based Conversational Product Search Interface | 7 | I'm diving into building a super cool feature for our marketplace – a search that understands plain English and can run edge-or database functions to assist customers. Imagine typing "I'm looking for art from the Pacific Northwest" and getting product recommendations or contextual questions like “There are a few styles... | 2024-04-08T01:20:43 | https://www.reddit.com/r/LocalLLaMA/comments/1byl8cr/recommendatios_for_an_llmbased_conversational/ | whiteorb | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byl8cr | false | null | t3_1byl8cr | /r/LocalLLaMA/comments/1byl8cr/recommendatios_for_an_llmbased_conversational/ | false | false | self | 7 | null |
The ultimate AI Waifu. | 1 | [removed] | 2024-04-08T01:01:10 | https://www.reddit.com/r/LocalLLaMA/comments/1byktl3/the_ultimate_ai_waifu/ | Small-Value-6973 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byktl3 | false | null | t3_1byktl3 | /r/LocalLLaMA/comments/1byktl3/the_ultimate_ai_waifu/ | false | false | nsfw | 1 | null |
LLM Text Generation with Screenshots | 2 | I’m new to LLM, my following question is out of ignorance or lack of knowledge.
Is there a Q&A LLM model that provides step by step instructions for a question. Can a model be trained to output screenshots/pictures along with the generated a text. | 2024-04-08T00:33:39 | https://www.reddit.com/r/LocalLLaMA/comments/1byk8gl/llm_text_generation_with_screenshots/ | imtu80 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byk8gl | false | null | t3_1byk8gl | /r/LocalLLaMA/comments/1byk8gl/llm_text_generation_with_screenshots/ | false | false | self | 2 | null |
Bitnet - How to actually use weights in 1.58 bits? | 22 | I successfully made a bitnet model, but it's weights are saved in fp16 (just as all bitnet weights you can find on huggingface) and because of that, memory usage is also similar to fp16 models. How do I actually use those in 1.58 bits? (or actually slightly more as I believe that total model average is like 4 bits or s... | 2024-04-08T00:20:30 | https://www.reddit.com/r/LocalLLaMA/comments/1byjy6p/bitnet_how_to_actually_use_weights_in_158_bits/ | DanFosing | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byjy6p | false | null | t3_1byjy6p | /r/LocalLLaMA/comments/1byjy6p/bitnet_how_to_actually_use_weights_in_158_bits/ | false | false | self | 22 | null |
Experimenting with 2-bit quants results. | 1 | I'm a developer who have been diving into LLM and python these last weeks.
I managed to quantize **mistralai/Mistral-7B-Instruct-v0.2 (no fine tunes or anything)** into 2-bits and then converting it into
**Mistral7-IQ2\_XXS.gguf**
I just managed to do it for the first ever tonight and I loaded the GGUF directly an... | 2024-04-07T23:47:21 | https://www.reddit.com/r/LocalLLaMA/comments/1byj8e8/experimenting_with_2bit_quants_results/ | Educational_Rent1059 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byj8e8 | false | null | t3_1byj8e8 | /r/LocalLLaMA/comments/1byj8e8/experimenting_with_2bit_quants_results/ | false | false | 1 | null | |
New Fastchat Docker image for Arc users (03/2024) | 13 | Hey, folks...I've spent the weekend swearing at Intel for their obtuse documentation and buggy code, as well as dependency hell, and finally arrived at a Fastchat Docker image that actually performs pretty well (~60 tokens/s on Mistral 7b with my A770 16GB).
It seems only fair to share it, so that anybody else with an... | 2024-04-07T23:33:39 | https://www.reddit.com/r/LocalLLaMA/comments/1byixer/new_fastchat_docker_image_for_arc_users_032024/ | N34257 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byixer | false | null | t3_1byixer | /r/LocalLLaMA/comments/1byixer/new_fastchat_docker_image_for_arc_users_032024/ | false | false | self | 13 | {'enabled': False, 'images': [{'id': 'zxm8lUtAGgAhVkMPMi6LensYLKZrRvN_ydHSUGvawbY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/e4n1_DfDn3BOPeWAk9koCqwVbgOggBsfBbD61mkKdbQ.jpg?width=108&crop=smart&auto=webp&s=455213d9bdf0fbbc5faf370744e922d6c2c88519', 'width': 108}, {'height': 108, 'url': 'h... |
VRAM requirements for fine-tunning Mixtral 8x7B | 6 | Hey everyone! I'm looking into performing fine tuning of Mixtral 8x7b.
From what I've gathered, if i want the model to learn new information, I have to go with full model fine tunning, is that correct?
If that's the case, whats the required VRAM I'm probably going to need? I'm assuming it's more than the 100GB needed... | 2024-04-07T23:31:00 | https://www.reddit.com/r/LocalLLaMA/comments/1byivah/vram_requirements_for_finetunning_mixtral_8x7b/ | olinoreddit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byivah | false | null | t3_1byivah | /r/LocalLLaMA/comments/1byivah/vram_requirements_for_finetunning_mixtral_8x7b/ | false | false | self | 6 | null |
Offensive LLM available? | 1 | [removed] | 2024-04-07T22:21:08 | https://www.reddit.com/r/LocalLLaMA/comments/1byh9ju/offensive_llm_available/ | Yickdangerous | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byh9ju | false | null | t3_1byh9ju | /r/LocalLLaMA/comments/1byh9ju/offensive_llm_available/ | false | false | self | 1 | null |
LLM orchestration with llama2 and vector database | 4 | I am trying to build conversational style AI agent with llama2(potentially others) in locally. I am also using a vector database (looking for suitable database though) to store relevant data.
Basically I am struggling with when I will query into database, when I will just ask LLM and when to query both. Suppose a use... | 2024-04-07T22:12:16 | https://www.reddit.com/r/LocalLLaMA/comments/1byh204/llm_orchestration_with_llama2_and_vector_database/ | mosh2i | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byh204 | false | null | t3_1byh204 | /r/LocalLLaMA/comments/1byh204/llm_orchestration_with_llama2_and_vector_database/ | false | false | self | 4 | null |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | **Tl;dr: One of Stanford's hottest seminar courses. We are opening the course through Zoom to the public. Lectures on Thursdays, 4:30-5:50pm PDT (Zoom link on course website). Talks will be recorded and released ~2 weeks after each lecture. Course website for more info and links to everything: https://web.stanford.edu/... | 2024-04-07T22:06:55 | https://web.stanford.edu/class/cs25/ | MLPhDStudent | web.stanford.edu | 1970-01-01T00:00:00 | 0 | {} | 1bygxci | false | null | t3_1bygxci | /r/LocalLLaMA/comments/1bygxci/stanford_cs_25_transformers_course_open_to/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... | |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | **Tl;dr: One of Stanford's hottest seminar courses. We are opening the course through Zoom to the public. Lectures on Thursdays, 4:30-5:50pm PDT (Zoom link on course website). Talks will be recorded and released ~2 weeks after each lecture. Course website: https://web.stanford.edu/class/cs25/**
Each week, we invite fo... | 2024-04-07T22:02:27 | https://www.reddit.com/r/LocalLLaMA/comments/1bygtfl/stanford_cs_25_transformers_course_open_to/ | MLPhDStudent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bygtfl | false | null | t3_1bygtfl | /r/LocalLLaMA/comments/1bygtfl/stanford_cs_25_transformers_course_open_to/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [removed] | 2024-04-07T21:59:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bygqwi/stanford_cs_25_transformers_course_open_to/ | MLPhDStudent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bygqwi | false | null | t3_1bygqwi | /r/LocalLLaMA/comments/1bygqwi/stanford_cs_25_transformers_course_open_to/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [removed] | 2024-04-07T21:58:38 | https://www.reddit.com/r/LocalLLaMA/comments/1bygpsl/stanford_cs_25_transformers_course_open_to/ | MLPhDStudent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bygpsl | false | null | t3_1bygpsl | /r/LocalLLaMA/comments/1bygpsl/stanford_cs_25_transformers_course_open_to/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [removed] | 2024-04-07T21:56:13 | https://www.reddit.com/r/LocalLLaMA/comments/1bygnpp/stanford_cs_25_transformers_course_open_to/ | MLPhDStudent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bygnpp | false | null | t3_1bygnpp | /r/LocalLLaMA/comments/1bygnpp/stanford_cs_25_transformers_course_open_to/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [removed] | 2024-04-07T21:52:56 | https://www.reddit.com/r/LocalLLaMA/comments/1bygkup/stanford_cs_25_transformers_course_open_to/ | MLPhDStudent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bygkup | false | null | t3_1bygkup | /r/LocalLLaMA/comments/1bygkup/stanford_cs_25_transformers_course_open_to/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [deleted] | 2024-04-07T21:51:32 | [deleted] | 1970-01-01T00:00:00 | 0 | {} | 1bygjl5 | false | null | t3_1bygjl5 | /r/LocalLLaMA/comments/1bygjl5/stanford_cs_25_transformers_course_open_to/ | false | false | default | 1 | null | ||
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [removed] | 2024-04-07T21:50:42 | https://web.stanford.edu/class/cs25/ | MLPhDStudent | web.stanford.edu | 1970-01-01T00:00:00 | 0 | {} | 1bygit0 | false | null | t3_1bygit0 | /r/LocalLLaMA/comments/1bygit0/stanford_cs_25_transformers_course_open_to/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... | |
Dranger has put up GGUF quants for Command R+ 104B from 1 to 8 bit. | 162 | 2024-04-07T21:48:13 | https://huggingface.co/dranger003/c4ai-command-r-plus-iMat.GGUF | fallingdowndizzyvr | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1byggkc | false | null | t3_1byggkc | /r/LocalLLaMA/comments/1byggkc/dranger_has_put_up_gguf_quants_for_command_r_104b/ | false | false | 162 | {'enabled': False, 'images': [{'id': 'CQ9SJTe3eBBo_qIZani63hjUu0zRGsX90R5OsB-yK5Y', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/VIZjFsjPZv-C7Apvx4m1X2VVUxYo2dM_2wwCtjEreUs.jpg?width=108&crop=smart&auto=webp&s=4728570b612f0fc8fa2a24d8155c3f8e8ea883b2', 'width': 108}, {'height': 116, 'url': 'h... | ||
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [removed] | 2024-04-07T21:46:55 | https://www.reddit.com/r/LocalLLaMA/comments/1bygfef/stanford_cs_25_transformers_course_open_to/ | MLPhDStudent | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bygfef | false | null | t3_1bygfef | /r/LocalLLaMA/comments/1bygfef/stanford_cs_25_transformers_course_open_to/ | false | false | self | 1 | null |
Stanford CS 25 Transformers Course (OPEN TO EVERYBODY) | 1 | [removed] | 2024-04-07T21:45:48 | https://web.stanford.edu/class/cs25/ | MLPhDStudent | web.stanford.edu | 1970-01-01T00:00:00 | 0 | {} | 1bygefi | false | null | t3_1bygefi | /r/LocalLLaMA/comments/1bygefi/stanford_cs_25_transformers_course_open_to/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'XsSXmoiJpvAknUZjDryhfbj9zaZ46HV0VdOMRIJN2hI', 'resolutions': [{'height': 66, 'url': 'https://external-preview.redd.it/8gOu-FuPwFLELzOMosHcFOsx0rWDkCWlMHjUJvy3eKI.jpg?width=108&crop=smart&auto=webp&s=0793d441d60148f1182dcab5f7626b6530dbff4c', 'width': 108}, {'height': 133, 'url': 'h... | |
What is a good model for an AI assistant? | 6 | I'm looking for a model that would be run entirely locally to be used as an AI assistant. Where can I find models that would be good for something like this? | 2024-04-07T21:24:39 | https://www.reddit.com/r/LocalLLaMA/comments/1byfvkh/what_is_a_good_model_for_an_ai_assistant/ | Ardbert_The_Fallen | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byfvkh | false | null | t3_1byfvkh | /r/LocalLLaMA/comments/1byfvkh/what_is_a_good_model_for_an_ai_assistant/ | false | false | self | 6 | null |
How to get very long answers - LM Studio | 6 | It is for the purpose of generating creative writing.
I would like to ask about how to ensure that a language model can give me a response of approximately 6000 or 8000 tokens. When I set -1 in the context size option, the length of the responses can vary, but it is never greater than 2000 tokens. It also doesn't hel... | 2024-04-07T21:10:46 | https://www.reddit.com/r/LocalLLaMA/comments/1byfizc/how_to_get_very_long_answers_lm_studio/ | pablogabrieldias | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byfizc | false | null | t3_1byfizc | /r/LocalLLaMA/comments/1byfizc/how_to_get_very_long_answers_lm_studio/ | false | false | self | 6 | null |
Context bound RAG Question and Answer Prompt | 1 | I am working on an locally hosted LLaMA LLM based QA Chatbot. I have tried setting system prompt using <SYS> , [INST] tags.
If answer is in the context model is able to make better answer. But in case answer is not in the context model is generating rubbish output. I have asked model to reply with ' I don't know' if... | 2024-04-07T20:31:53 | https://www.reddit.com/r/LocalLLaMA/comments/1byejob/context_bound_rag_question_and_answer_prompt/ | freelanceProgrammar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byejob | false | null | t3_1byejob | /r/LocalLLaMA/comments/1byejob/context_bound_rag_question_and_answer_prompt/ | false | false | self | 1 | null |
CogSEP, a term to encapsulate a loose but not incoherent notion | 5 | Here's the improved version of your post:
Title: CogSEP: A Framework for Enhancing Data Processing through Cognitive and Semantic Technologies
'Lot has been said about the application of LLMs towards chat-based applications, but we see a broader potential. Here on Reddit and out there in the wider internet, there is ... | 2024-04-07T20:24:56 | https://www.reddit.com/r/LocalLLaMA/comments/1byed80/cogsep_a_term_to_encapsulate_a_loose_but_not/ | xtof_of_crg | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byed80 | false | null | t3_1byed80 | /r/LocalLLaMA/comments/1byed80/cogsep_a_term_to_encapsulate_a_loose_but_not/ | false | false | self | 5 | null |
Local Multi Modal model recommendation | 6 | Hi All,
I have a M1 Macbook 16 GB RAM and I loved using the Mistral 7B locally in RAM last 3 months. It helped save a lot of headaches (& costs I presume)as I as was developing a hobby project. Now I want to add image / video features to the hobby project. I am wondering if there is a model out there that I can use s... | 2024-04-07T20:19:47 | https://www.reddit.com/r/LocalLLaMA/comments/1bye8em/local_multi_modal_model_recommendation/ | Conscious-Remote2486 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bye8em | false | null | t3_1bye8em | /r/LocalLLaMA/comments/1bye8em/local_multi_modal_model_recommendation/ | false | false | self | 6 | null |
What model for 406ti with 16GB VRAM and 32GB RAM to talk about anything like with ChatGPT but without those answers that it can't answer because this or that. | 0 | I want to talk about esoteric things and metaphysics but overall about stuff too so ideally it should have knowledge about such things. | 2024-04-07T20:08:55 | https://www.reddit.com/r/LocalLLaMA/comments/1bydyky/what_model_for_406ti_with_16gb_vram_and_32gb_ram/ | Felipesssku | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bydyky | false | null | t3_1bydyky | /r/LocalLLaMA/comments/1bydyky/what_model_for_406ti_with_16gb_vram_and_32gb_ram/ | false | false | self | 0 | null |
Anyone know the best way to remember past conversations for RAG models? | 4 | So I have created my entire chatbot to answer questions for my url, I am using OpenAI embedding and gpt 4 to query. I am using a pinecone vector database to store url data, the app seems to be working fine. The only issue is remembering past conversations which is starting to become a slight issue, anyone know the best... | 2024-04-07T20:01:37 | https://www.reddit.com/r/LocalLLaMA/comments/1byds2i/anyone_know_the_best_way_to_remember_past/ | Pokedrive123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byds2i | false | null | t3_1byds2i | /r/LocalLLaMA/comments/1byds2i/anyone_know_the_best_way_to_remember_past/ | false | false | self | 4 | null |
A compilation of sources to get your ML research from. | 1 | [removed] | 2024-04-07T20:00:57 | https://www.reddit.com/r/LocalLLaMA/comments/1bydrby/a_compilation_of_sources_to_get_your_ml_research/ | Important-Offer-4904 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bydrby | false | null | t3_1bydrby | /r/LocalLLaMA/comments/1bydrby/a_compilation_of_sources_to_get_your_ml_research/ | false | false | self | 1 | null |
Changing temperature during inference? | 1 | [removed] | 2024-04-07T18:53:37 | https://www.reddit.com/r/LocalLLaMA/comments/1byc1r8/changing_temperature_during_inference/ | Lord_Account | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byc1r8 | false | null | t3_1byc1r8 | /r/LocalLLaMA/comments/1byc1r8/changing_temperature_during_inference/ | false | false | self | 1 | null |
NTIA is posting the comments for their open source document, if anyone wanted to browse them | 27 | The comments can be browsed here: [https://www.regulations.gov/document/NTIA-2023-0009-0001/comment](https://www.regulations.gov/document/NTIA-2023-0009-0001/comment)
I've only peeked through so far, but the Chamber of Commerce comment really surprised me. I only skimmed over it, but they sound *very* onboard with op... | 2024-04-07T18:53:11 | https://www.reddit.com/r/LocalLLaMA/comments/1byc1dh/ntia_is_posting_the_comments_for_their_open/ | SomeOddCodeGuy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byc1dh | false | null | t3_1byc1dh | /r/LocalLLaMA/comments/1byc1dh/ntia_is_posting_the_comments_for_their_open/ | false | false | self | 27 | null |
Why are there so few 5B models? | 23 | I've been wondering why there are so many 3B and 7B models, but so few in between?
It's a shame, because quantified 5B models would likely be less than 2GB in size, which would be nice for browser-based inference.
Is this gap something that grew historically, or is there another explanation? | 2024-04-07T18:44:26 | https://www.reddit.com/r/LocalLLaMA/comments/1bybtky/why_are_there_so_few_5b_models/ | privacyparachute | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bybtky | false | null | t3_1bybtky | /r/LocalLLaMA/comments/1bybtky/why_are_there_so_few_5b_models/ | false | false | self | 23 | null |
Recommendations for fine tuning local LLMs on personal textual data? | 1 | [removed] | 2024-04-07T18:30:20 | https://www.reddit.com/r/LocalLLaMA/comments/1bybh2e/recommendations_for_fine_tuning_local_llms_on/ | EducationalFact3 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bybh2e | false | null | t3_1bybh2e | /r/LocalLLaMA/comments/1bybh2e/recommendations_for_fine_tuning_local_llms_on/ | false | false | self | 1 | null |
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models | 21 | 2024-04-07T18:29:56 | https://arxiv.org/abs/2404.02258 | Zegrento7 | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 1bybgo5 | false | null | t3_1bybgo5 | /r/LocalLLaMA/comments/1bybgo5/mixtureofdepths_dynamically_allocating_compute_in/ | false | false | default | 21 | null | |
Is there anyone who thinks people u chat to are AI | 1 | [removed] | 2024-04-07T17:50:35 | https://www.reddit.com/r/LocalLLaMA/comments/1byaies/is_there_anyone_who_thinks_people_u_chat_to_are_ai/ | Key_Pitch2471 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byaies | false | null | t3_1byaies | /r/LocalLLaMA/comments/1byaies/is_there_anyone_who_thinks_people_u_chat_to_are_ai/ | false | false | self | 1 | null |
Is it do-able to have Ollama LLM running on AWS EC2 server to use as a chatbot for my website? | 2 | I tried curl'ing it to the server, and had major problems. I had to reboot because it stopped allowing me to ssh into it.
Any advice is appreciated. Thank you! | 2024-04-07T17:45:56 | https://www.reddit.com/r/LocalLLaMA/comments/1byaefq/is_it_doable_to_have_ollama_llm_running_on_aws/ | Maleficent_Pool_4456 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1byaefq | false | null | t3_1byaefq | /r/LocalLLaMA/comments/1byaefq/is_it_doable_to_have_ollama_llm_running_on_aws/ | false | false | self | 2 | null |
Building a chatbot to support tech support agents. Could use pointers. | 8 | **Ideal Goal:**
Build a system that can learn from and interact with me and my fellow tech support staff to assist us in ways a hosted, generic AI couldn't. (I'm with an IT company that serves small businesses.) The point is that I want lower-level techs to quickly benefit from the experiences of higher-level techs ... | 2024-04-07T17:32:39 | https://www.reddit.com/r/LocalLLaMA/comments/1bya39m/building_a_chatbot_to_support_tech_support_agents/ | AkkerKid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bya39m | false | null | t3_1bya39m | /r/LocalLLaMA/comments/1bya39m/building_a_chatbot_to_support_tech_support_agents/ | false | false | self | 8 | null |
3Blue1Brown: Visualizing Attention, a Transformer's Heart | Chapter 6, Deep Learning | 244 | 2024-04-07T17:30:23 | https://youtu.be/eMlx5fFNoYc?si=qH3Eeh9-P7uNourZ | hedgehog0 | youtu.be | 1970-01-01T00:00:00 | 0 | {} | 1bya1b2 | false | {'oembed': {'author_name': '3Blue1Brown', 'author_url': 'https://www.youtube.com/@3blue1brown', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/eMlx5fFNoYc?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscop... | t3_1bya1b2 | /r/LocalLLaMA/comments/1bya1b2/3blue1brown_visualizing_attention_a_transformers/ | false | false | 244 | {'enabled': False, 'images': [{'id': 'IXDUvAWt9753sxjL74UNi6aGp5VAsMQaeL3qIoXto6k', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/inb1V8kJi3_-LHjahi8czlkAd5jUaC6Aa_TJZcUL1u4.jpg?width=108&crop=smart&auto=webp&s=b150f6e006b1e2eab686f9f2cec32ad58d6f4b92', 'width': 108}, {'height': 162, 'url': 'h... | ||
Hardware + LLM suggestion | 1 | [removed] | 2024-04-07T17:17:51 | https://www.reddit.com/r/LocalLLaMA/comments/1by9qgd/hardware_llm_suggestion/ | Dega02220 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by9qgd | false | null | t3_1by9qgd | /r/LocalLLaMA/comments/1by9qgd/hardware_llm_suggestion/ | false | false | self | 1 | null |
Can I get some insight regarding this build ? | 3 | I want to use this for LLMs, and multimodal models that combine vision and language. Primarily inference, but hopefully also some degree of finetuning if possible. After doing research on my own, and adjusting for some changes based on my previious post, I've selected the following parts, and would like some insight fr... | 2024-04-07T17:14:08 | https://www.reddit.com/r/LocalLLaMA/comments/1by9nbf/can_i_get_some_insight_regarding_this_build/ | adlokib | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by9nbf | false | null | t3_1by9nbf | /r/LocalLLaMA/comments/1by9nbf/can_i_get_some_insight_regarding_this_build/ | false | false | self | 3 | null |
Tracking Compute-Intensive AI Models - Dataset of 81 models, from AlphaGo to Llama to Gemini | 57 | 2024-04-07T17:00:01 | https://epochai.org/blog/tracking-compute-intensive-ai-models | isaac_szpindel | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1by9ayb | false | null | t3_1by9ayb | /r/LocalLLaMA/comments/1by9ayb/tracking_computeintensive_ai_models_dataset_of_81/ | false | false | 57 | null | ||
How much of your time is spent doing data prep? | 11 | Hello LocalLLaMA Community,
I'm wondering how much time you typically spend doing data prep related work? It feels like data extraction, cleansing, tokenization, and compression make up 75% of my work.
I've been building an [OSS dev tool](https://github.com/Burla-Cloud) to make it incredibly easy to parallelize the... | 2024-04-07T16:41:53 | https://www.reddit.com/r/LocalLLaMA/comments/1by8vvd/how_much_of_your_time_is_spent_doing_data_prep/ | Ok_Post_149 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by8vvd | false | null | t3_1by8vvd | /r/LocalLLaMA/comments/1by8vvd/how_much_of_your_time_is_spent_doing_data_prep/ | false | false | self | 11 | {'enabled': False, 'images': [{'id': 'ECjqmog1a2Ip1YeafEvo9JOkgUGFRCOAdLODtEcGlMs', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/mbJIaL2N6oGhRT_02gkfNYsRMof2tseYvYzoncQVNOw.jpg?width=108&crop=smart&auto=webp&s=47667e9c71dac602f63ac5071e2cce0637286b06', 'width': 108}, {'height': 216, 'url': '... |
Advice regarding a deep learning build focused on LLMs and multi modal models | 0 | I am currently working as an ML Engineer and our work mainly revolves around training computer vision models for video analytics. I'm presently looking to assemble a PC build for personal use, as I can't realistically utilize the GPUs at work for my personal requirements. I want to use this for LLMs, and multimodal mod... | 2024-04-07T16:33:13 | https://www.reddit.com/r/LocalLLaMA/comments/1by8ok7/advice_regarding_a_deep_learning_build_focused_on/ | adlokib | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by8ok7 | false | null | t3_1by8ok7 | /r/LocalLLaMA/comments/1by8ok7/advice_regarding_a_deep_learning_build_focused_on/ | false | false | self | 0 | null |
H2O-Danube2-1.8b: New top sub 2B model on Open LLM Leaderboard | 36 | New Apache 2.0 small language model being the new top sub 2B model on Open LLM Leaderboard.
Base weights: https://huggingface.co/h2oai/h2o-danube2-1.8b-base
SFT weights: https://huggingface.co/h2oai/h2o-danube2-1.8b-sft
Chat weights: https://huggingface.co/h2oai/h2o-danube2-1.8b-chat | 2024-04-07T15:15:34 | https://www.reddit.com/r/LocalLLaMA/comments/1by6uuf/h2odanube218b_new_top_sub_2b_model_on_open_llm/ | ichiichisan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by6uuf | false | null | t3_1by6uuf | /r/LocalLLaMA/comments/1by6uuf/h2odanube218b_new_top_sub_2b_model_on_open_llm/ | false | false | self | 36 | {'enabled': False, 'images': [{'id': 'TkV51I6PWY-itqt3UpXsTnk5uy1osxkJxfIj3yrH4-Q', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/rcnqLTBXiHhnptilMQ9EtJTiBu0g9du0iUJmEuqexMs.jpg?width=108&crop=smart&auto=webp&s=55dae17bfad9f0e69530cc78e5980f67849a1c51', 'width': 108}, {'height': 116, 'url': 'h... |
ELI5 - what’s the point in owning a GPU / running these models locally? | 1 | [removed] | 2024-04-07T15:02:57 | https://www.reddit.com/r/LocalLLaMA/comments/1by6kh4/eli5_whats_the_point_in_owning_a_gpu_running/ | Putrid-Television981 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by6kh4 | false | null | t3_1by6kh4 | /r/LocalLLaMA/comments/1by6kh4/eli5_whats_the_point_in_owning_a_gpu_running/ | false | false | self | 1 | null |
Look for Finetuning directions | 6 | Fortunately I will have access to dozens of H100 in next few months. Not enough for pre-training but will allow me to do some thoroughly finetuning. What kind of capabilities do you think are promising now? What base model is worth trying? I’m currently looking for the 30-50B range, and I’m not considering models like ... | 2024-04-07T14:46:55 | https://www.reddit.com/r/LocalLLaMA/comments/1by67h6/look_for_finetuning_directions/ | Imaginary_Music4768 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by67h6 | false | null | t3_1by67h6 | /r/LocalLLaMA/comments/1by67h6/look_for_finetuning_directions/ | false | false | self | 6 | null |
Building a New LLM Inference Machine for Home server | 1 | [removed] | 2024-04-07T14:46:14 | https://www.reddit.com/r/LocalLLaMA/comments/1by66y5/building_a_new_llm_inference_machine_for_home/ | kuanzog | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by66y5 | false | null | t3_1by66y5 | /r/LocalLLaMA/comments/1by66y5/building_a_new_llm_inference_machine_for_home/ | false | false | self | 1 | null |
TwoAI - Letting two LLM's have a conversation on any topic. | 202 | Hello,
I recently made this python script just to see where the conversation would lead if I let two llm's conversate on random topics, I once saw someone do it with chatgpt long time ago but this runs with local LLM using ollama.
So just wanted to share it here as other people might find it fun too.
Github: [https:... | 2024-04-07T14:44:21 | https://www.reddit.com/r/LocalLLaMA/comments/1by65dg/twoai_letting_two_llms_have_a_conversation_on_any/ | FUS3N | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by65dg | false | null | t3_1by65dg | /r/LocalLLaMA/comments/1by65dg/twoai_letting_two_llms_have_a_conversation_on_any/ | false | false | 202 | {'enabled': False, 'images': [{'id': 'OJfQKKpjy2GdCO5Q9LHrfTHgHXVHo9emTzcrX-TsCzM', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/8KXQE1VJwON0prJ8-jUF6yE7EWRfnlJ4tw8jM3M2QKc.jpg?width=108&crop=smart&auto=webp&s=bc60ed76a73194a0505f7349bfedc31eab0f9692', 'width': 108}, {'height': 108, 'url': 'h... | |
Does it make sense to offload the long context window kv cache to RAM/Database ? | 1 | [removed] | 2024-04-07T14:32:08 | https://www.reddit.com/r/LocalLLaMA/comments/1by5ve0/does_it_make_sense_to_offload_the_long_context/ | s7ev3n-wang | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by5ve0 | false | null | t3_1by5ve0 | /r/LocalLLaMA/comments/1by5ve0/does_it_make_sense_to_offload_the_long_context/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'NDYSDL6tiC6iEoO4yWRQWe3_kucaru-RMONc_La6KaQ', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/gxmcJWypdKbKWOI8HmD1w78QIEua4_-G5fP1WMZAWh4.jpg?width=108&crop=smart&auto=webp&s=7735ed5b0b0f9db2bd564c681a15763b7c3ab3f1', 'width': 108}, {'height': 108, 'url': 'h... |
Best llm for auto complete only | 1 | I am a flutter dev and i want an llm that can support flutter
- I heard starcoder is better than deepseek for that task alone | 2024-04-07T14:32:01 | https://www.reddit.com/r/LocalLLaMA/comments/1by5vb0/best_llm_for_auto_complete_only/ | Rare_Ad8942 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by5vb0 | false | null | t3_1by5vb0 | /r/LocalLLaMA/comments/1by5vb0/best_llm_for_auto_complete_only/ | false | false | self | 1 | null |
Reason plugin for Obsidian: a REPL for your thoughts | 69 | 2024-04-07T13:49:42 | https://v.redd.it/mjnjn0bizzsc1 | smerdy | /r/LocalLLaMA/comments/1by4y9s/reason_plugin_for_obsidian_a_repl_for_your/ | 1970-01-01T00:00:00 | 0 | {} | 1by4y9s | false | {'reddit_video': {'bitrate_kbps': 5000, 'dash_url': 'https://v.redd.it/mjnjn0bizzsc1/DASHPlaylist.mpd?a=1715222424%2CMWMwNTEzM2RiNjYzNDUyYzRlMDIyMDdkODJlMjkxMTVkNjcwMWEwOGY2YTJlNzNhNTM0NzBjMWZkYWZmNDRlNw%3D%3D&v=1&f=sd', 'duration': 49, 'fallback_url': 'https://v.redd.it/mjnjn0bizzsc1/DASH_1080.mp4?source=fallback', 'h... | t3_1by4y9s | /r/LocalLLaMA/comments/1by4y9s/reason_plugin_for_obsidian_a_repl_for_your/ | false | false | 69 | {'enabled': False, 'images': [{'id': 'NmU5bWpoYnphMnRjMRs25fUixAMV__4DD-fXZ0fK4-RBDVWxYRXPEIfscIFr', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/NmU5bWpoYnphMnRjMRs25fUixAMV__4DD-fXZ0fK4-RBDVWxYRXPEIfscIFr.png?width=108&crop=smart&format=pjpg&auto=webp&s=3eb947be2c65310ecc70f291e6e0c2c9ffd34... | ||
Chat with a 300 page book | 23 | Hello guys!
I am having 300 page book which fundamentally deals with Human resources.
I was thinking to develop a RAG but my constraint is I can't use GPT and only have to reply on local models,
Can you suggest some models both llm and embedding to use on Google colab free GPU. | 2024-04-07T13:32:42 | https://www.reddit.com/r/LocalLLaMA/comments/1by4lmt/chat_with_a_300_page_book/ | No-Trip899 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by4lmt | false | null | t3_1by4lmt | /r/LocalLLaMA/comments/1by4lmt/chat_with_a_300_page_book/ | false | false | self | 23 | null |
Load in 4bit doesn't reduce RAM usage? Trying to run 13B model on Kaggle. | 2 | [removed] | 2024-04-07T13:09:09 | https://www.reddit.com/r/LocalLLaMA/comments/1by43y3/load_in_4bit_doesnt_reduce_ram_usage_trying_to/ | Primary_One_7912 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by43y3 | false | null | t3_1by43y3 | /r/LocalLLaMA/comments/1by43y3/load_in_4bit_doesnt_reduce_ram_usage_trying_to/ | false | false | self | 2 | null |
An undeniable truth when buying a GPU | 48 | 2024-04-07T12:44:04 | https://www.youtube.com/watch?v=XDpDesU_0zo | Wrong_User_Logged | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1by3m4m | false | {'oembed': {'author_name': 'Ji Hoon Chun', 'author_url': 'https://www.youtube.com/@iMacmatician', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/XDpDesU_0zo?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyrosc... | t3_1by3m4m | /r/LocalLLaMA/comments/1by3m4m/an_undeniable_truth_when_buying_a_gpu/ | false | false | 48 | {'enabled': False, 'images': [{'id': '5-zjhqrMc26TCbbCs7lNbXe1o7nziOmXV_LjZyKLByA', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/wwQIVfqt1Qy3tGIiub1_0nUNg9VR_nIXH433qPbRpCQ.jpg?width=108&crop=smart&auto=webp&s=02e1f4a8f0d7418e9dbe2cc562a97187a26f96dd', 'width': 108}, {'height': 162, 'url': 'h... | ||
Best model for conversation and quick generation? | 1 | [removed] | 2024-04-07T12:30:30 | https://www.reddit.com/r/LocalLLaMA/comments/1by3cwt/best_model_for_conversation_and_quick_generation/ | JaYeS4444 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by3cwt | false | null | t3_1by3cwt | /r/LocalLLaMA/comments/1by3cwt/best_model_for_conversation_and_quick_generation/ | false | false | self | 1 | null |
Any MLX gurus here that can help convert a model? | 3 | I've been trying to convert Jamba into MLX for more efficient training and usability but am having a difficult time. My specialty is in the training/datasets world and not the strongest in the core math behind the model architectures beyond the basic implementations.
Would somebody know of an easier way to get Jamba c... | 2024-04-07T12:01:59 | https://www.reddit.com/r/LocalLLaMA/comments/1by2tz4/any_mlx_gurus_here_that_can_help_convert_a_model/ | vesudeva | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by2tz4 | false | null | t3_1by2tz4 | /r/LocalLLaMA/comments/1by2tz4/any_mlx_gurus_here_that_can_help_convert_a_model/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'hMTd10dr_e2BqAW4CjNF3sxBrMjpiIbLtBl5A-5nr5A', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/25qTH9MOz-uQ4HIXdDTG0rTatlR1EUy8a6Erfnqe1eA.jpg?width=108&crop=smart&auto=webp&s=99c33d51767832b09d6671489f37d2b790291a70', 'width': 108}, {'height': 116, 'url': 'h... |
Any MLX gurus here that can help covert a model? | 1 | I've been trying to convert Jamba into MLX for more efficient training and usability but am having a difficult time. My specialty is in the training/datasets world and not the strongest in the core math behind the model architectures beyond the basic implementations.
Would somebody know of an easier way to get Jamba c... | 2024-04-07T11:52:59 | https://www.reddit.com/r/LocalLLaMA/comments/1by2o7g/any_mlx_gurus_here_that_can_help_covert_a_model/ | vesudeva | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by2o7g | false | null | t3_1by2o7g | /r/LocalLLaMA/comments/1by2o7g/any_mlx_gurus_here_that_can_help_covert_a_model/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'hMTd10dr_e2BqAW4CjNF3sxBrMjpiIbLtBl5A-5nr5A', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/25qTH9MOz-uQ4HIXdDTG0rTatlR1EUy8a6Erfnqe1eA.jpg?width=108&crop=smart&auto=webp&s=99c33d51767832b09d6671489f37d2b790291a70', 'width': 108}, {'height': 116, 'url': 'h... |
Benchy Cases are perfect for cooling LLM Jank! | 3 | Benchy Cases are perfect for cooling LLM Jank! [https://www.primochill.com/products/praxis-wetbenchsx-pro-angled-edition?variant=31874907373634](https://www.primochill.com/products/praxis-wetbenchsx-pro-angled-edition?variant=31874907373634) No more worries about 4090's not fitting in the case or cards choking each oth... | 2024-04-07T11:11:17 | https://www.reddit.com/r/LocalLLaMA/comments/1by1ywr/benchy_cases_are_perfect_for_cooling_llm_jank/ | jacobpederson | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by1ywr | false | null | t3_1by1ywr | /r/LocalLLaMA/comments/1by1ywr/benchy_cases_are_perfect_for_cooling_llm_jank/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': 'NoPnGvttzafcZkX4ZDPC8f_rRSXLQRfWv-X9GG0eKvs', 'resolutions': [{'height': 86, 'url': 'https://external-preview.redd.it/oUd5nmgaEnmOpzrqE5MsxqhQKKco1pl_AgTGFcSSLrU.jpg?width=108&crop=smart&auto=webp&s=14f8cefd81cfd8dcb56dd5f67a83c90fc76c1ec7', 'width': 108}, {'height': 172, 'url': 'h... |
BlinkDL/rwkv-6-world · Hugging Face | 42 | 2024-04-07T10:41:31 | https://huggingface.co/BlinkDL/rwkv-6-world | TraceMonkey | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1by1hrf | false | null | t3_1by1hrf | /r/LocalLLaMA/comments/1by1hrf/blinkdlrwkv6world_hugging_face/ | false | false | 42 | {'enabled': False, 'images': [{'id': 'gBpYWr_cmvvFpDCNBW0VZunHoKeDCTrBRe1p4Qv30eE', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/MQzP6YeoDoE4IpH34SZyumRKTiLXfVLnyaad2DruSq4.jpg?width=108&crop=smart&auto=webp&s=e2d1ab7f21fafe106ef9532809952e273fffd9a0', 'width': 108}, {'height': 116, 'url': 'h... | ||
How to deploy a RAG-tuned Al chatbot/ LLM using AWS Bedrock | 1 | [removed] | 2024-04-07T10:37:51 | https://www.reddit.com/r/LocalLLaMA/comments/1by1fqp/how_to_deploy_a_ragtuned_al_chatbot_llm_using_aws/ | lc19- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by1fqp | false | null | t3_1by1fqp | /r/LocalLLaMA/comments/1by1fqp/how_to_deploy_a_ragtuned_al_chatbot_llm_using_aws/ | false | false | self | 1 | null |
Training Base model on single consumer gpu limits? | 9 | I have an Nvidia 4060Ti 16gb GPU (picked for balance between gaming/ml/budget). Now, I mostly use it to play with stable diffusion and local llama
Is there a simple way to guesstimate what kinds of base models can be trained (from ground up) on this thing? *
Insights of 16gb on:
* max params
* batch size
* training t... | 2024-04-07T10:28:53 | https://www.reddit.com/r/LocalLLaMA/comments/1by1as9/training_base_model_on_single_consumer_gpu_limits/ | nuketro0p3r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by1as9 | false | null | t3_1by1as9 | /r/LocalLLaMA/comments/1by1as9/training_base_model_on_single_consumer_gpu_limits/ | false | false | self | 9 | null |
Dolphin is quite damn good at explaining how herself works... | 1 | 2024-04-07T09:55:53 | Didi_Midi | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1by0s00 | false | null | t3_1by0s00 | /r/LocalLLaMA/comments/1by0s00/dolphin_is_quite_damn_good_at_explaining_how/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'Ppw2we2AoWWxVadl5-TxWc4T1iSUZexX1pVvfEha_vI', 'resolutions': [{'height': 93, 'url': 'https://preview.redd.it/nyf61ciz41tc1.jpeg?width=108&crop=smart&auto=webp&s=0eea5a273f469a7e1e600d0da9a41631d4126f21', 'width': 108}, {'height': 186, 'url': 'https://preview.redd.it/nyf61ciz41tc1.jp... | |||
Are There Any Ranking Websites for LLMs Based on Specific GPU Performance? | 1 | Hey everyone!
I'm diving into the vast world of large language models (LLMs) and I'm particularly interested in understanding how each performs on specific GPUs. Given the growing number of LLMs and the wide array of available hardware, I'm wondering if there's a website or resource out there that ranks or compares th... | 2024-04-07T09:27:01 | https://www.reddit.com/r/LocalLLaMA/comments/1by0c60/are_there_any_ranking_websites_for_llms_based_on/ | Snoopy-y | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by0c60 | false | null | t3_1by0c60 | /r/LocalLLaMA/comments/1by0c60/are_there_any_ranking_websites_for_llms_based_on/ | false | false | self | 1 | null |
What's the easiest way to find preferred prompt template of a model ? | 1 | [removed] | 2024-04-07T09:07:29 | https://www.reddit.com/r/LocalLLaMA/comments/1by00z6/whats_the_easiest_way_to_find_preferred_prompt/ | Lopsided_Dot_4557 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1by00z6 | false | null | t3_1by00z6 | /r/LocalLLaMA/comments/1by00z6/whats_the_easiest_way_to_find_preferred_prompt/ | false | false | self | 1 | null |
Code for training a model on MosaicML for VQA | 2 | Hi all,
I have a usecase to train a vision-llama model. I'm looking for some code or repo that has trained any LLM on MosaicML for a VQA task.
It would be great if there is some repo that does modify the code to connect a vision encoder and a llama model. | 2024-04-07T08:20:19 | https://www.reddit.com/r/LocalLLaMA/comments/1bxzbif/code_for_training_a_model_on_mosaicml_for_vqa/ | pratt79 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxzbif | false | null | t3_1bxzbif | /r/LocalLLaMA/comments/1bxzbif/code_for_training_a_model_on_mosaicml_for_vqa/ | false | false | self | 2 | null |
H2O-Danube2-1.8b: New top sub 2B model on Open LLM Leaderboard | 1 | [removed] | 2024-04-07T08:16:16 | https://www.reddit.com/r/LocalLLaMA/comments/1bxz9d1/h2odanube218b_new_top_sub_2b_model_on_open_llm/ | ichiichisan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxz9d1 | false | null | t3_1bxz9d1 | /r/LocalLLaMA/comments/1bxz9d1/h2odanube218b_new_top_sub_2b_model_on_open_llm/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'TkV51I6PWY-itqt3UpXsTnk5uy1osxkJxfIj3yrH4-Q', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/rcnqLTBXiHhnptilMQ9EtJTiBu0g9du0iUJmEuqexMs.jpg?width=108&crop=smart&auto=webp&s=55dae17bfad9f0e69530cc78e5980f67849a1c51', 'width': 108}, {'height': 116, 'url': 'h... |
Does anybody know if it is possible to use Code Llama Python with RAG? | 1 | [removed] | 2024-04-07T08:09:28 | https://www.reddit.com/r/LocalLLaMA/comments/1bxz5pl/does_anybody_know_if_it_is_possible_to_use_code/ | Swugrid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxz5pl | false | null | t3_1bxz5pl | /r/LocalLLaMA/comments/1bxz5pl/does_anybody_know_if_it_is_possible_to_use_code/ | false | false | self | 1 | null |
Hey folks
| 0 |
Should i run LLM in my mac m2 apple silicon.
I don't need to coding or something like that. Just personal.uses. more deep and meaningful))
Which one do you recommend if the answer is yes? | 2024-04-07T07:54:16 | https://www.reddit.com/r/LocalLLaMA/comments/1bxyx0g/hey_folks/ | beeeqqq | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxyx0g | false | null | t3_1bxyx0g | /r/LocalLLaMA/comments/1bxyx0g/hey_folks/ | false | false | self | 0 | null |
Videos are all you need! Credits: Anton via Twitter | 2 | Tim Brook's presentation at AGI House | 2024-04-07T07:30:12 | https://www.reddit.com/r/LocalLLaMA/comments/1bxyk5f/videos_are_all_you_need_credits_anton_via_twitter/ | ashioyajotham | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxyk5f | false | {'oembed': {'author_name': 'anton', 'author_url': 'https://twitter.com/abacaj', 'cache_age': 3153600000, 'height': None, 'html': '<blockquote class="twitter-video"><p lang="en" dir="ltr">The main theme I got out of this video from the Sora authors: scale is all you need for AGI <a href="https://t.co/ardetgCX2f">https:/... | t3_1bxyk5f | /r/LocalLLaMA/comments/1bxyk5f/videos_are_all_you_need_credits_anton_via_twitter/ | false | false | self | 2 | {'enabled': False, 'images': [{'id': 'Gpi4eT3KRBGAYAveZ9Tt_LT6_2MZyVTIfxKlTwXkEGE', 'resolutions': [{'height': 70, 'url': 'https://external-preview.redd.it/_u1CUK-7nWw_nZUmT7e46seiuhABkbpLDmJpw0ZQTgQ.jpg?width=108&crop=smart&auto=webp&s=315da141d48f6289810e4ad0391283ec2286b818', 'width': 108}], 'source': {'height': 91,... |
Mixtral GPU + CPU interference statistics? | 2 | I am currently using Mixtral 8x7b (6-Bit) on my laptop CPU and 64GB DDR-5 RAM, which is extremely slow at about 0,30 tokens per second.
Especially prompt processing takes forever.
I am now thinking about adding a RTX 3090 as eGPU.
Does anyone know how many tokens per second I can expect, if I offload as many layers ... | 2024-04-07T07:23:34 | https://www.reddit.com/r/LocalLLaMA/comments/1bxyghz/mixtral_gpu_cpu_interference_statistics/ | Prince-of-Privacy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxyghz | false | null | t3_1bxyghz | /r/LocalLLaMA/comments/1bxyghz/mixtral_gpu_cpu_interference_statistics/ | false | false | self | 2 | null |
Asked bitnet paper author about Microsoft patent. Got a non answer | 29 | Thanks for the interest in our work! Please feel free to contribute to the open source projects that have non-commercial licenses! We welcome any open-source optimization/contritbution on BitNet.
Thanks,
Shuming
Question I asked: Question: Does Microsoft plan to patent tech related to bitnet 1.58?
Previous relate... | 2024-04-07T07:21:09 | https://www.reddit.com/r/LocalLLaMA/comments/1bxyf3u/asked_bitnet_paper_author_about_microsoft_patent/ | danielcar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxyf3u | false | null | t3_1bxyf3u | /r/LocalLLaMA/comments/1bxyf3u/asked_bitnet_paper_author_about_microsoft_patent/ | false | false | self | 29 | null |
GPU + CPU interference statistics? | 1 | I am currently using Mixtral 8x7b (6-Bit) on my laptop CPU and 64GB DDR-5 RAM, which is extremely slow at about 0,30 tokens per second.
Especially prompt processing takes forever.
I am now thinking about adding a RTX 3090 as eGPU.
Does anyone know how many tokens per second I can expect, if I offload as many layers... | 2024-04-07T07:03:33 | https://www.reddit.com/r/LocalLLaMA/comments/1bxy5fl/gpu_cpu_interference_statistics/ | Prince-of-Privacy | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxy5fl | false | null | t3_1bxy5fl | /r/LocalLLaMA/comments/1bxy5fl/gpu_cpu_interference_statistics/ | false | false | self | 1 | null |
LLM benchmarking websites | 2 | Are there any regularly updated websites benchmarking LLM models? I've seen some posted here but most of them seem out-of-date. Do you know of better ones? | 2024-04-07T07:01:22 | https://www.reddit.com/r/LocalLLaMA/comments/1bxy439/llm_benchmarking_websites/ | 2catfluffs | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxy439 | false | null | t3_1bxy439 | /r/LocalLLaMA/comments/1bxy439/llm_benchmarking_websites/ | false | false | self | 2 | null |
Load in 4bit doesn't reduce RAM usage? I'm trying to run 13B model on Kaggle. | 1 | [removed] | 2024-04-07T06:55:40 | https://www.reddit.com/r/LocalLLaMA/comments/1bxy0rs/load_in_4bit_doesnt_reduce_ram_usage_im_trying_to/ | Primary_One_7912 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxy0rs | false | null | t3_1bxy0rs | /r/LocalLLaMA/comments/1bxy0rs/load_in_4bit_doesnt_reduce_ram_usage_im_trying_to/ | false | false | self | 1 | null |
LM Studio Alternative that Supports Custom GPU Offloading | 14 | Are there any open-source UI alternatives to LM Studio that allows to set how many layers to offload to GPU. I have tried the text-generated-web-ui but I want something on the similar lines with the LM Studio(the UI), which allows me to set gpu layers | 2024-04-07T06:34:54 | https://www.reddit.com/r/LocalLLaMA/comments/1bxxoye/lm_studio_alternative_that_supports_custom_gpu/ | Automatic-Net-757 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxxoye | false | null | t3_1bxxoye | /r/LocalLLaMA/comments/1bxxoye/lm_studio_alternative_that_supports_custom_gpu/ | false | false | self | 14 | null |
Is 2 x 4070 12gb enough for LLM fine tuning | 19 | I am building a custom PC for personal projects and playing around LLMs. I am thinking about getting 2x4070 gpus 12GB each.will this be an overalkill or shall I go with 1x4070 16gb. Need some advice. | 2024-04-07T06:11:27 | https://www.reddit.com/r/LocalLLaMA/comments/1bxxb1p/is_2_x_4070_12gb_enough_for_llm_fine_tuning/ | alokranjan1234 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxxb1p | false | null | t3_1bxxb1p | /r/LocalLLaMA/comments/1bxxb1p/is_2_x_4070_12gb_enough_for_llm_fine_tuning/ | false | false | self | 19 | null |
Is there any uncensored story model that could handle a GTX 1650 Ti laptop version. | 1 | [removed] | 2024-04-07T05:48:19 | https://www.reddit.com/r/LocalLLaMA/comments/1bxwxp4/is_there_any_uncensored_story_model_that_could/ | Ryan_6715 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxwxp4 | false | null | t3_1bxwxp4 | /r/LocalLLaMA/comments/1bxwxp4/is_there_any_uncensored_story_model_that_could/ | false | false | self | 1 | null |
Which 30B+ model is your go-to choice? | 83 | ||
||
|| | 2024-04-07T05:27:51 | https://www.reddit.com/r/LocalLLaMA/comments/1bxwl6v/which_30b_model_is_your_goto_choice/ | Imaginary_Music4768 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxwl6v | false | null | t3_1bxwl6v | /r/LocalLLaMA/comments/1bxwl6v/which_30b_model_is_your_goto_choice/ | false | false | self | 83 | null |
Easiest way to create my own 7B LLM ? | 0 | I want to create my own LLM. I have some documents mostly rare creative documents. I want to train it. I don't have good GPU. Earlier, I had run some LLMs using Runpod. What is the easiest way to create my own custom 7B LLM ? How much time would it take to train a 7B custom LLM ? | 2024-04-07T04:26:24 | https://www.reddit.com/r/LocalLLaMA/comments/1bxvipr/easiest_way_to_create_my_own_7b_llm/ | broodysupertramp | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxvipr | false | null | t3_1bxvipr | /r/LocalLLaMA/comments/1bxvipr/easiest_way_to_create_my_own_7b_llm/ | false | false | self | 0 | null |
Best story writing parameters for LLMs ? | 5 | I give story outline and let LLM generate passage. Currently I am using Alpaca Preset in LMStudio. 0.8 Temperature, Top K 40.
What are the best story writing settings/parameters for LLMs ?
https://preview.redd.it/3xksn0ytgzsc1.png?width=359&format=png&auto=webp&s=2a0af8afa7b486527330629347ca781e09e02e3a
| 2024-04-07T04:19:57 | https://www.reddit.com/r/LocalLLaMA/comments/1bxvefq/best_story_writing_parameters_for_llms/ | broodysupertramp | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxvefq | false | null | t3_1bxvefq | /r/LocalLLaMA/comments/1bxvefq/best_story_writing_parameters_for_llms/ | false | false | 5 | null | |
Need German NSFW | 1 | [removed] | 2024-04-07T03:10:43 | https://www.reddit.com/r/LocalLLaMA/comments/1bxu3sg/need_german_nsfw/ | SlowPear8525 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxu3sg | false | null | t3_1bxu3sg | /r/LocalLLaMA/comments/1bxu3sg/need_german_nsfw/ | false | false | nsfw | 1 | null |
EXL2 quants for Cohere Command R Plus are out | 94 | [EXL2 quants](https://huggingface.co/turboderp/command-r-plus-103B-exl2) are now out for Cohere's Command R Plus model. The 3.0 quant will fit on a dual 3090 setup with around 8-10k context. Easiest setup is to use [ExUI](https://github.com/turboderp/exui) and pull in the dev repo for ExllamaV2:
​
pip inst... | 2024-04-07T02:30:24 | https://www.reddit.com/r/LocalLLaMA/comments/1bxtbc7/exl2_quants_for_cohere_command_r_plus_are_out/ | synn89 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxtbc7 | false | null | t3_1bxtbc7 | /r/LocalLLaMA/comments/1bxtbc7/exl2_quants_for_cohere_command_r_plus_are_out/ | false | false | 94 | {'enabled': False, 'images': [{'id': 'qqK33W9Uf7E1wD-nQ3c6t3TTQeFhbsv6vz5rSdmnQ_o', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/YdhXpO2jQ5MidS7KXYpx85-nE0UNjzrXlnU_Fii0-pE.jpg?width=108&crop=smart&auto=webp&s=5c2ab4b72eceab295a3202588138abd3f4e0207d', 'width': 108}, {'height': 116, 'url': 'h... | |
What can I do with an intel i9, 64gb ram and nvidia rtx 8gb A2000 ada | 1 | [removed] | 2024-04-07T01:28:55 | https://www.reddit.com/r/LocalLLaMA/comments/1bxs393/what_can_i_do_with_an_intel_i9_64gb_ram_and/ | No-Matter8696 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxs393 | false | null | t3_1bxs393 | /r/LocalLLaMA/comments/1bxs393/what_can_i_do_with_an_intel_i9_64gb_ram_and/ | false | false | self | 1 | null |
Building a PC for LLM | 2 | Hi all, I tried to use my old PC and was looking to upgrade it anyway so should I build a new pc or look to build a server haha?
TBH I would rather build a PC to dual use it for games/programming was looking at 128 GB Ram DDR5 , i9-13900K, RTX 4090 or I can obtain better performance for lower costs ? I am living in Eu... | 2024-04-07T01:22:52 | https://www.reddit.com/r/LocalLLaMA/comments/1bxryyq/building_a_pc_for_llm/ | VortexNova0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxryyq | false | null | t3_1bxryyq | /r/LocalLLaMA/comments/1bxryyq/building_a_pc_for_llm/ | false | false | self | 2 | null |
How do you evaluate your llms output? | 1 | [removed] | 2024-04-07T01:13:08 | https://www.reddit.com/r/LocalLLaMA/comments/1bxrrut/how_do_you_evaluate_your_llms_output/ | EveryAerie8811 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxrrut | false | null | t3_1bxrrut | /r/LocalLLaMA/comments/1bxrrut/how_do_you_evaluate_your_llms_output/ | false | false | self | 1 | null |
A collection of prompt examples to be used with the Llama model. | 15 | [GitHub repo for a variety of prompts that can be used with Llama.](https://github.com/langgptai/awesome-llama-prompts)
​ | 2024-04-07T01:04:12 | https://www.reddit.com/r/LocalLLaMA/comments/1bxrl6x/a_collection_of_prompt_examples_to_be_used_with/ | langgptai | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bxrl6x | false | null | t3_1bxrl6x | /r/LocalLLaMA/comments/1bxrl6x/a_collection_of_prompt_examples_to_be_used_with/ | false | false | self | 15 | {'enabled': False, 'images': [{'id': 'jcKNp7a9l8GZWmjkBtj8GKyrTFg3Bd-TMf8CZAUrYnA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/vZ_0PK0prlZBmnKiqFDBBACqoT3dDgIHEBMaTLryF1w.jpg?width=108&crop=smart&auto=webp&s=b34fa26014497277a4be08775f8f5737e7d44b9b', 'width': 108}, {'height': 108, 'url': 'h... |
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