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What are the best embeddings models for a specific domain? | 1 | [removed] | 2024-04-29T20:45:51 | https://www.reddit.com/r/LocalLLaMA/comments/1cg9xw4/what_are_the_best_embeddings_models_for_a/ | mariojapcorreia | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg9xw4 | false | null | t3_1cg9xw4 | /r/LocalLLaMA/comments/1cg9xw4/what_are_the_best_embeddings_models_for_a/ | false | false | self | 1 | null |
I made a documentary based on a wikipedia article using local GenAI models for text, video, music, image and voice. Generated on a single RTX3090. What could I improve? | 1 | 2024-04-29T20:37:27 | https://www.youtube.com/watch?v=HuRPliHOe9Y | AI-Xplains | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1cg9q4g | false | {'oembed': {'author_name': 'AI-Explains', 'author_url': 'https://www.youtube.com/@AI-Xplains', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/HuRPliHOe9Y?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope... | t3_1cg9q4g | /r/LocalLLaMA/comments/1cg9q4g/i_made_a_documentary_based_on_a_wikipedia_article/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'hzr0kyaSrvjrAi-DySlqM-wQOcB-miv1-4f9h2BicNk', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/TXe35XUUK6xWrS5evB2ulZMEhzP1ZcsO82-xk1vEnyw.jpg?width=108&crop=smart&auto=webp&s=e062074f3c6d19d8ce203866fcb4c0be412050ad', 'width': 108}, {'height': 162, 'url': 'h... | ||
Off The Grid. Local AI with Prompt Injection. LlamaIndex and Ollama in 20 Lines of Python Code. | 1 | 2024-04-29T20:31:10 | https://www.youtube.com/watch?v=Sn2efZUvKpE | Empire_Fable | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1cg9kil | false | {'oembed': {'author_name': 'MAG WEB DESIGNS INC', 'author_url': 'https://www.youtube.com/@magwebdesignsinc5098', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/Sn2efZUvKpE?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypte... | t3_1cg9kil | /r/LocalLLaMA/comments/1cg9kil/off_the_grid_local_ai_with_prompt_injection/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'M7WwfVuQQnEjlfc7Eqrmsz_N_lXSkelG0vBO8wFbf6I', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/SgMGriObhlnNR38CyF_VJRtJnB-Mk8Q7Vh96lYgeYDQ.jpg?width=108&crop=smart&auto=webp&s=1133f71dae9d353c2efea67f543754f51f635d99', 'width': 108}, {'height': 162, 'url': 'h... | ||
Search index vs vector db for RAG | 2 | I have a Solr index with docs indexed and stored. Do I also need a vector db for rag with llm? I'm thinking of an app that for any end user input/question would first ask llm to suggest reasonable keywords to search my solr. And once I (my app) retrieve the search results from solr based on the keywords suggested by ll... | 2024-04-29T20:23:14 | https://www.reddit.com/r/LocalLLaMA/comments/1cg9cyp/search_index_vs_vector_db_for_rag/ | hadoopfromscratch | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg9cyp | false | null | t3_1cg9cyp | /r/LocalLLaMA/comments/1cg9cyp/search_index_vs_vector_db_for_rag/ | false | false | self | 2 | null |
Gpt2-Chatbot is exactly what it looks like | 0 | ​
https://preview.redd.it/7hkdvi4h7hxc1.png?width=625&format=png&auto=webp&s=8e8a6ddea96998a5b6cda10e770ea3b453a0bef3
Look, everyone is speculating about this model and after using it for a little while I can say: This is exactly what it looks like. This is GPT-2, 1.5B parameters models released in 2019. It is... | 2024-04-29T20:19:29 | https://www.reddit.com/r/LocalLLaMA/comments/1cg99h3/gpt2chatbot_is_exactly_what_it_looks_like/ | luishacm | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg99h3 | false | null | t3_1cg99h3 | /r/LocalLLaMA/comments/1cg99h3/gpt2chatbot_is_exactly_what_it_looks_like/ | false | false | 0 | null | |
I haven't messed with or run a LLaMa in over a year, what should I know getting back into it? | 1 | [removed] | 2024-04-29T20:15:57 | https://www.reddit.com/r/LocalLLaMA/comments/1cg96cx/i_havent_messed_with_or_run_a_llama_in_over_a/ | AdultFaceNelson | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg96cx | false | null | t3_1cg96cx | /r/LocalLLaMA/comments/1cg96cx/i_havent_messed_with_or_run_a_llama_in_over_a/ | false | false | self | 1 | null |
Fine tuned model Hallucinating AF | 3 | I have finetuned a mistral 7b instruct v0.2, the training dataset is very small around 20 example. (I read one post where op reduced the lora_alpha 1/4th of the rank. And he was able to find tune using just 10 row dataset). The final response is coming out very bad as after some lines it hallucinations very badly and s... | 2024-04-29T20:14:39 | https://www.reddit.com/r/LocalLLaMA/comments/1cg9556/fine_tuned_model_hallucinating_af/ | Old-Box-854 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg9556 | false | null | t3_1cg9556 | /r/LocalLLaMA/comments/1cg9556/fine_tuned_model_hallucinating_af/ | false | false | self | 3 | null |
A simple Python script to run pseudo single needle in haystack test with Ollama: Llama3 vs Dolphin-Llama3-256k | 22 | First of all, this is just for fun, not for research or anything, so take it with a grain of salt!
Yesterday, I was manually running a needle in a haystack tests, and today I decided to create a simple Python script that runs a pseudo [a single needle in a haystack test](https://github.com/chigkim/haystack-test) with ... | 2024-04-29T20:13:04 | https://www.reddit.com/r/LocalLLaMA/comments/1cg93r3/a_simple_python_script_to_run_pseudo_single/ | chibop1 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg93r3 | false | null | t3_1cg93r3 | /r/LocalLLaMA/comments/1cg93r3/a_simple_python_script_to_run_pseudo_single/ | false | false | self | 22 | {'enabled': False, 'images': [{'id': 'y4MIfmfYjr2VxaruYJs6-4pEqGLenhJfWXKxu7p05M4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/TtzrfVS18jTuQqt7byWwSUxav0LLbMdJqKx3uA2pi3E.jpg?width=108&crop=smart&auto=webp&s=c851b4c4ee390ebde85b714110e618b2950da150', 'width': 108}, {'height': 108, 'url': 'h... |
LLama-3-8B-Instruct now extended 1048576 context length landed on HuggingFace | 261 | After released the first LLama-3 8B-Instruct on Thursday with a context length of 262k, we now extended LLama to 1048K / 1048576 tokens onto HuggingFace!
This model is a part 2 out of the collab between [gradient.ai](https://gradient.ai/) and [https://crusoe.ai/](https://crusoe.ai/).
As many suggested, we also updat... | 2024-04-29T20:03:36 | https://www.reddit.com/r/LocalLLaMA/comments/1cg8uzp/llama38binstruct_now_extended_1048576_context/ | OrganicMesh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg8uzp | false | null | t3_1cg8uzp | /r/LocalLLaMA/comments/1cg8uzp/llama38binstruct_now_extended_1048576_context/ | false | false | self | 261 | {'enabled': False, 'images': [{'id': 'HFXLpmWBcPULZGnnO_T0pt7CsndWN9AnTygePZLrTsM', 'resolutions': [{'height': 65, 'url': 'https://external-preview.redd.it/FhFDVkwvxa-Wdk2dulKCTA4pi55qdw7joVhS8z3yIis.jpg?width=108&crop=smart&auto=webp&s=8aa5f98e0191685ef5c2c2c86d4cc77eadbbaeb5', 'width': 108}, {'height': 131, 'url': 'h... |
Back with new Spellbound Llama finetunes for long form RP w/ an easy way to test them (8B outperforming 8x22?) | 1 | [removed] | 2024-04-29T20:01:29 | https://www.reddit.com/r/LocalLLaMA/comments/1cg8sw3/back_with_new_spellbound_llama_finetunes_for_long/ | spellbound_app | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg8sw3 | false | null | t3_1cg8sw3 | /r/LocalLLaMA/comments/1cg8sw3/back_with_new_spellbound_llama_finetunes_for_long/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'ySsf3SaasIIRFeWdGoPrF2_dVlGxFVV_venlb7tdsh8', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/WMmGRdzlnu_gcnOsWKQ00vCaKklYQOjXk84kUSMVf0w.jpg?width=108&crop=smart&auto=webp&s=d774d08da92ea55a42d137803c519ccc3deaa338', 'width': 108}, {'height': 116, 'url': 'h... | |
1 million context Llama 3 8b Achieved! | 516 | [https://fxtwitter.com/Gradient\_AI\_/status/1785030931407143040?](https://fxtwitter.com/Gradient_AI_/status/1785030931407143040?t=U4_FdN9hNDaE9y432-lssQ&s=19) | 2024-04-29T20:00:08 | https://www.reddit.com/r/LocalLLaMA/comments/1cg8rhc/1_million_context_llama_3_8b_achieved/ | metalman123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg8rhc | false | null | t3_1cg8rhc | /r/LocalLLaMA/comments/1cg8rhc/1_million_context_llama_3_8b_achieved/ | false | false | self | 516 | {'enabled': False, 'images': [{'id': 'm4EQLIjxIGYwzdylMERzI4OcCWTSwJLD07QnWnV5N_Y', 'resolutions': [{'height': 101, 'url': 'https://external-preview.redd.it/m7FaocGV_euJVNTtaRopH2ttqnU6ZHtGec5EMVK-Dq8.jpg?width=108&crop=smart&auto=webp&s=8171194cb93daeef1784648c52b491e2c5c2cc13', 'width': 108}, {'height': 202, 'url': '... |
Advice for a PoC local LLM setup from old server hardware running Ollama. | 2 | Hoping to get some advice on a Proof of Concept setup I am trying to get together for my place of work. Quick context is I am at a small software company, and there's interest in using locally hosted LLMs for code generation/unit test creation/etc from old server hardware we have available. Hoping for a quick sanity ch... | 2024-04-29T19:54:51 | https://www.reddit.com/r/LocalLLaMA/comments/1cg8muh/advice_for_a_poc_local_llm_setup_from_old_server/ | Delacroix515 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg8muh | false | null | t3_1cg8muh | /r/LocalLLaMA/comments/1cg8muh/advice_for_a_poc_local_llm_setup_from_old_server/ | false | false | self | 2 | null |
Mamba for Sequence Classification in HuggingFace | 10 | 2024-04-29T19:20:27 | https://github.com/getorca/mamba_for_sequence_classification | wind_dude | github.com | 1970-01-01T00:00:00 | 0 | {} | 1cg7s0f | false | null | t3_1cg7s0f | /r/LocalLLaMA/comments/1cg7s0f/mamba_for_sequence_classification_in_huggingface/ | false | false | 10 | {'enabled': False, 'images': [{'id': '7F36zEdGk_64-3Q2ihRe5nn_qEZYW29fg36BetdxT8M', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/_G53nHnaMf-cNZ7GKjnXU2j6bkOJeLDWGg9aXYo2QCM.jpg?width=108&crop=smart&auto=webp&s=699c0031e633380b20e1cf991990db0abd4213aa', 'width': 108}, {'height': 108, 'url': 'h... | ||
Maximize CPU Utilization for RAG Training | 1 | ERROR: type should be string, got "https://preview.redd.it/rnsxpi92wgxc1.png?width=1466&format=png&auto=webp&s=2acdda9bd25a115b9f3c97be42f1ac18de9e345f\n\nSo here's the context\n\nI'm training a RAG model over a PDF (\\~ 300 pages). \n\nStack -> Ollam + Nomic Embed + Llama3\n\nAs you can see from the screenshot, the CPU (AMD Ryzen 5) utilization doesn't go beyond 45%. Skip the GPU part as it is not supported by Ollama.\n\nMy question. Is there a way to spike this utilization to \\~80% ?" | 2024-04-29T19:16:39 | https://www.reddit.com/r/LocalLLaMA/comments/1cg7ohq/maximize_cpu_utilization_for_rag_training/ | HHstoneyHH | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg7ohq | false | null | t3_1cg7ohq | /r/LocalLLaMA/comments/1cg7ohq/maximize_cpu_utilization_for_rag_training/ | false | false | 1 | null | |
vLLM on RunPod serverless uses too much memory | 4 | I finally managed to deploy vLLM on RunPod Serverless, however the model runs out of memory.
For testing purposes I'm trying to load this model: `Dracones/Midnight-Miqu-70B-v1.0\_exl2\_2.24bpw` on a 48 GB GPU.
This model should fit on a 24 GB GPU, how comes it runs out of memory on a 48 GB GPU?
I tried to double che... | 2024-04-29T19:12:13 | https://www.reddit.com/r/LocalLLaMA/comments/1cg7kls/vllm_on_runpod_serverless_uses_too_much_memory/ | houmie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg7kls | false | null | t3_1cg7kls | /r/LocalLLaMA/comments/1cg7kls/vllm_on_runpod_serverless_uses_too_much_memory/ | false | false | self | 4 | {'enabled': False, 'images': [{'id': 'xFdAOZW-k_obNHsQOBrTJMecZ-7RN5D9ggvW7ic3WoY', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/F6V2VNzKomJxJUOuyCjNfvzCa7Ld4cv2GcmP50-KZME.jpg?width=108&crop=smart&auto=webp&s=c1bf63d35e3a056e4f96f4c847205cd7d3e64c5d', 'width': 108}, {'height': 116, 'url': 'h... |
LLama-3-70b is now second only behind gpt-4-turbo-2024-04-09 and Llama-3-8b is 9th, surpassing last years GPT-4-0613! | 6 | 2024-04-29T19:01:33 | https://reddit-uploaded-media.s3-accelerate.amazonaws.com/pynmnjpbqgxc1 | AdHominemMeansULost | reddit-uploaded-media.s3-accelerate.amazonaws.com | 1970-01-01T00:00:00 | 0 | {} | 1cg7asq | false | null | t3_1cg7asq | /r/LocalLLaMA/comments/1cg7asq/llama370b_is_now_second_only_behind/ | false | false | default | 6 | null | |
Whats the difference between LMStudio, Ollama and Oobabooga? | 1 | [removed] | 2024-04-29T18:40:15 | https://www.reddit.com/r/LocalLLaMA/comments/1cg6roo/whats_the_difference_between_lmstudio_ollama_and/ | cryptokaykay | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg6roo | false | null | t3_1cg6roo | /r/LocalLLaMA/comments/1cg6roo/whats_the_difference_between_lmstudio_ollama_and/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'BGXfaUMntPZWzYo99FfkrbqxveeayLkICP2FRV6iEYA', 'resolutions': [{'height': 41, 'url': 'https://external-preview.redd.it/V0bMuIoeIfXcCnG6uE4-9PiNgKWrVXkZZsdOyfiZwH0.jpg?width=108&crop=smart&auto=webp&s=027a4a136867b336cfe98d6c39e0251e1ba0b055', 'width': 108}, {'height': 83, 'url': 'ht... |
New release of Ollama Grid Search (v0.4.1) | 25 | For those of us who need to automate model evaluation and testing:
​
https://preview.redd.it/5zzkh7vimgxc1.png?width=1080&format=png&auto=webp&s=d1f401792dd61abc43c315ab89db441ecc08f160
Latest version adds:
​
* "system prompt" field added to the main form;
* releases for old and new Mac platfo... | 2024-04-29T18:15:42 | https://www.reddit.com/r/LocalLLaMA/comments/1cg657k/new_release_of_ollama_grid_search_v041/ | grudev | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg657k | false | null | t3_1cg657k | /r/LocalLLaMA/comments/1cg657k/new_release_of_ollama_grid_search_v041/ | false | false | 25 | {'enabled': False, 'images': [{'id': 'tm8I8YVDA-ZvJXerfBWTeErg2jzyT0qvFl1syjJ9Sdg', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/eoaC1Tm71q0UkHHiDXqIElE6KfzscFFLnXHoc8QW9gU.jpg?width=108&crop=smart&auto=webp&s=10d984ee4aacf00a92489633693dfa777d928b58', 'width': 108}, {'height': 108, 'url': 'h... | |
Llama2.c -> llama3.c | 21 | Was using llama2.c for local llama app backend and wanted to move to LLaMA 3 8B so this does that well.
https://github.com/jameswdelancey/llama3.c | 2024-04-29T18:00:18 | https://www.reddit.com/r/LocalLLaMA/comments/1cg5qtg/llama2c_llama3c/ | jameswdelancey | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg5qtg | false | null | t3_1cg5qtg | /r/LocalLLaMA/comments/1cg5qtg/llama2c_llama3c/ | false | false | self | 21 | {'enabled': False, 'images': [{'id': 'ahiioxShLo8Ji-RddIuiAOd5Yg3F4QMS-TIplz8c1hA', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/7IEiTeR4DPlA_pprPDORfvBRduQRNUIGJS-A9QB-H24.jpg?width=108&crop=smart&auto=webp&s=9035e4c76fbef4228bcbea4491642682f6016759', 'width': 108}, {'height': 108, 'url': 'h... |
Since it was created by OpenAi and it’s based on GPT-4, is it safe to call it GPT-4.5? | 1 | 2024-04-29T17:56:18 | 1capitan25 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1cg5n4c | false | null | t3_1cg5n4c | /r/LocalLLaMA/comments/1cg5n4c/since_it_was_created_by_openai_and_its_based_on/ | false | false | 1 | {'enabled': True, 'images': [{'id': 'qGLyuRamonxaRl3Yw-UdOuAYgvA6zDcuwQsmO2Z5Qnc', 'resolutions': [{'height': 182, 'url': 'https://preview.redd.it/lncftwm6jgxc1.jpeg?width=108&crop=smart&auto=webp&s=6b7f8d64560f0a46b254a09bd78966ed86cb49d1', 'width': 108}, {'height': 365, 'url': 'https://preview.redd.it/lncftwm6jgxc1.j... | |||
What are the most promising ways you guys have done RAG evaluation during dev and monitoring? | 1 | [removed] | 2024-04-29T17:49:31 | https://www.reddit.com/r/LocalLLaMA/comments/1cg5gxx/what_are_the_most_promising_ways_you_guys_have/ | hickensnarlie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg5gxx | false | null | t3_1cg5gxx | /r/LocalLLaMA/comments/1cg5gxx/what_are_the_most_promising_ways_you_guys_have/ | false | false | self | 1 | null |
Looking for storywriting/RP model options, 32GB VRAM | 8 | I've been playing with LLMs for a few days with koboldcpp + SillyTavern.
My setup is a laptop with internal RTX 3070Ti (8GB) & RTX 3090 hooked up as an eGPU (I know this is only a PCI-Ex4 and performs slower than it would internally).
I've been playing with 13B/20B models which perform well, 30B models can be a bit s... | 2024-04-29T17:27:51 | https://www.reddit.com/r/LocalLLaMA/comments/1cg4xck/looking_for_storywritingrp_model_options_32gb_vram/ | realechelon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg4xck | false | null | t3_1cg4xck | /r/LocalLLaMA/comments/1cg4xck/looking_for_storywritingrp_model_options_32gb_vram/ | false | false | self | 8 | null |
Can I run Llama 3 70b with a 3090? | 1 | [removed] | 2024-04-29T17:26:14 | https://www.reddit.com/r/LocalLLaMA/comments/1cg4vvi/can_i_run_llama_3_70b_with_a_3090/ | TotalAcanthisitta366 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg4vvi | false | null | t3_1cg4vvi | /r/LocalLLaMA/comments/1cg4vvi/can_i_run_llama_3_70b_with_a_3090/ | false | false | self | 1 | null |
Future LLMs and the impact of a perfect datasets on older models | 9 | I've been wondering about the potential of Large Language Models (LLMs) in the next few years, and I'd love to hear your thoughts on this hypothetical scenario.
Imagine that the next 3-4 versions of LLMs, with advancements in architecture, training methods, and computational power, become capable of generating the mos... | 2024-04-29T16:54:00 | https://www.reddit.com/r/LocalLLaMA/comments/1cg42vx/future_llms_and_the_impact_of_a_perfect_datasets/ | Apu000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg42vx | false | null | t3_1cg42vx | /r/LocalLLaMA/comments/1cg42vx/future_llms_and_the_impact_of_a_perfect_datasets/ | false | false | self | 9 | null |
gpt2-chatbot on lmsys -- GPT4.5-5 with reasoning breakthrough? (math and language tests) | 49 | there seems to be a new model on lmsys, some information can be found at [rentry.org/GPT2](http://rentry.org/GPT2) as to what is currently known, in this post I will show a few prompts I poked it with to test its reasoning capabilities.
as of now, the model may have had some serious improvements upon gpt4 in respect t... | 2024-04-29T16:49:27 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3ytu/gpt2chatbot_on_lmsys_gpt455_with_reasoning/ | Bubbly_Guidance_4565 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3ytu | false | null | t3_1cg3ytu | /r/LocalLLaMA/comments/1cg3ytu/gpt2chatbot_on_lmsys_gpt455_with_reasoning/ | false | false | self | 49 | {'enabled': False, 'images': [{'id': 'Dg1SYwc7VQNcLPv1qcT28Eo5KEfuhz4F2Qyr08P7byU', 'resolutions': [{'height': 92, 'url': 'https://external-preview.redd.it/WCPlzyWwxnV0-gcezmZbb7bDHtwT1gxqdCwFGjny6t8.jpg?width=108&crop=smart&auto=webp&s=b9c59f61206e5a8b5a9c53504d367962b91ec90e', 'width': 108}, {'height': 184, 'url': 'h... |
Cargo Cults and You. (We want 'local' 'Llama' to redistribute...) | 0 | **Meat Bag:** How might open source AI developers be considered a "Cargo Cult"?
**ChatGPT:**
The term "Cargo Cult" originally refers to a type of religious practice that emerged in tribal societies in the South Pacific during and after World War II. These societies began to mimic the behavior of the military per... | 2024-04-29T16:47:26 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3x04/cargo_cults_and_you_we_want_local_llama_to/ | MindOrbits | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3x04 | false | null | t3_1cg3x04 | /r/LocalLLaMA/comments/1cg3x04/cargo_cults_and_you_we_want_local_llama_to/ | false | false | self | 0 | null |
Mistral.rs | 1 | Has anyone tried mistral.rs? I was trying to figure out if there was a way we could use this along with ollama.
I understand this is similar to it however it is not compatible is what I assume. Looks like this can increase the inference by a great difference.
More information on this is greatly appreciated. | 2024-04-29T16:44:30 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3ua4/mistralrs/ | _thedeveloper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3ua4 | false | null | t3_1cg3ua4 | /r/LocalLLaMA/comments/1cg3ua4/mistralrs/ | false | false | self | 1 | null |
How to use llama.dll? | 1 | [removed] | 2024-04-29T16:42:48 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3sr5/how_to_use_llamadll/ | Repulsive-Pea2103 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3sr5 | false | null | t3_1cg3sr5 | /r/LocalLLaMA/comments/1cg3sr5/how_to_use_llamadll/ | false | false | self | 1 | null |
I wish there was an a2000 with 24GB VRAM... Would be great for a small homelab machine. | 12 | Do you think we will see more of these smaller cards with higher vram going forward? | 2024-04-29T16:42:08 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3s7j/i_wish_there_was_an_a2000_with_24gb_vram_would_be/ | CortaCircuit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3s7j | false | null | t3_1cg3s7j | /r/LocalLLaMA/comments/1cg3s7j/i_wish_there_was_an_a2000_with_24gb_vram_would_be/ | false | false | self | 12 | null |
How to convert Microsoft’s Phi-3 model to CoreML model? | 1 | Recently MS released SLM called Phi-3 to use it on edge devices. When trying to run this model on iPhone, it required to convert it into CoreML to support natively. What’s the best way to do this?
Note: I tried Swift exporters, but no expected results | 2024-04-29T16:41:27 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3rmw/how_to_convert_microsofts_phi3_model_to_coreml/ | prabakarviji | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3rmw | false | null | t3_1cg3rmw | /r/LocalLLaMA/comments/1cg3rmw/how_to_convert_microsofts_phi3_model_to_coreml/ | false | false | self | 1 | null |
Japanese | 0 | Is there way to get the llama3 answering in Japanese? I mean the answer should be with Japanese characters. Using OpenWebUI. | 2024-04-29T16:35:00 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3m2j/japanese/ | speacexstarlink | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3m2j | false | null | t3_1cg3m2j | /r/LocalLLaMA/comments/1cg3m2j/japanese/ | false | false | self | 0 | null |
Llama 3 8B instruct with fixed BPE tokenizer uploaded | 139 | https://huggingface.co/bartowski/Meta-Llama-3-8B-Instruct-GGUF
I know it was just a week ago when I posted claiming "full support for Llama 3 in GGUF", but as I'm sure you all know there was a BPE tokenizer bug
This is with the fix now, and running it with the latest llama.cpp ./main, we can see that even the Q2_K mo... | 2024-04-29T16:26:19 | https://www.reddit.com/r/LocalLLaMA/comments/1cg3e8k/llama_3_8b_instruct_with_fixed_bpe_tokenizer/ | noneabove1182 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg3e8k | false | null | t3_1cg3e8k | /r/LocalLLaMA/comments/1cg3e8k/llama_3_8b_instruct_with_fixed_bpe_tokenizer/ | false | false | self | 139 | {'enabled': False, 'images': [{'id': 'GaTAaWiF11zAO_toIRjYWrUzlC4aeioFc6IzanoGRVk', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/pJ5ppLT3xLYgwc5-QoPr6n0Kc7e9X1pxHgrXJRTLDPU.jpg?width=108&crop=smart&auto=webp&s=b83addbc330f4e0207a750e7f666771049a69af8', 'width': 108}, {'height': 116, 'url': 'h... |
Deaddit: Run a local Reddit-clone with AI users | 423 | Last week, someone posted [I made a little Dead Internet](https://old.reddit.com/r/LocalLLaMA/comments/1cc0fyy/i_made_a_little_dead_internet/)
I thought it was fun and decided to spend a couple of evenings building a small reddit clone where all the posts and comments are AI generated.
You can find a live [demo here... | 2024-04-29T16:21:29 | https://www.reddit.com/r/LocalLLaMA/comments/1cg39yq/deaddit_run_a_local_redditclone_with_ai_users/ | jovialfaction | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg39yq | false | null | t3_1cg39yq | /r/LocalLLaMA/comments/1cg39yq/deaddit_run_a_local_redditclone_with_ai_users/ | false | false | self | 423 | null |
There is speculation that the gpt2-chatbot model on lmsys is GPT4.5 getting benchmarked, I run some of my usual quizzes and scenarios and it aced every single one of them, can you please test it and report back? | 306 | 2024-04-29T15:57:30 | https://chat.lmsys.org/ | AdHominemMeansULost | chat.lmsys.org | 1970-01-01T00:00:00 | 0 | {} | 1cg2oq8 | false | null | t3_1cg2oq8 | /r/LocalLLaMA/comments/1cg2oq8/there_is_speculation_that_the_gpt2chatbot_model/ | false | false | default | 306 | null | |
Summarize long phone calls and documents? | 1 | [removed] | 2024-04-29T15:48:34 | https://www.reddit.com/r/LocalLLaMA/comments/1cg2gsc/summarize_long_phone_calls_and_documents/ | dark_phyber | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg2gsc | false | null | t3_1cg2gsc | /r/LocalLLaMA/comments/1cg2gsc/summarize_long_phone_calls_and_documents/ | false | false | self | 1 | null |
LLM Datasets: a curated list of datasets for fine-tuning | 61 | Hi LocalLLaMA,
I created a repo with a list of high-quality datasets for fine-tuning. For now, it's dedicated to supervised fine-tuning with a focus on general-purpose datasets, but I want to expand it to preference datasets and more domain-specific use cases.
Feel free to contribute if you find it interesting! | 2024-04-29T15:43:47 | https://www.reddit.com/r/LocalLLaMA/comments/1cg2ce7/llm_datasets_a_curated_list_of_datasets_for/ | mlabonne | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg2ce7 | false | null | t3_1cg2ce7 | /r/LocalLLaMA/comments/1cg2ce7/llm_datasets_a_curated_list_of_datasets_for/ | false | false | self | 61 | {'enabled': False, 'images': [{'id': '8NoYKFX-i4xT_DgEmN9cneYZt6egxx4Q9cTZAFrS3-E', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/AczRaec1LKRYB-VIdlfRaM7SwoauTsZ_7ttwCpD-T-8.jpg?width=108&crop=smart&auto=webp&s=ca26e1242875a3d68fe7ab01bbcc7226fe6ba0fc', 'width': 108}, {'height': 108, 'url': 'h... |
I found that I asked LLM to translate 5,000 words of content, but LLM would become more and more lazy when translating part of it. Is there any way to translate it step by step but be compatible with the context? | 4 | I found that I asked LLM to translate 5,000 words of content, but LLM would become more and more lazy when translating part of it. Is there any way to translate it step by step but be compatible with the context? | 2024-04-29T15:27:46 | https://www.reddit.com/r/LocalLLaMA/comments/1cg1y8n/i_found_that_i_asked_llm_to_translate_5000_words/ | xue160709 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg1y8n | false | null | t3_1cg1y8n | /r/LocalLLaMA/comments/1cg1y8n/i_found_that_i_asked_llm_to_translate_5000_words/ | false | false | self | 4 | null |
Timelines for consumer-grade "VRAM" (or unified RAM) advancements | 56 | What are some estimated launch dates for better consumer-grade GPU VRAM advancements which would allow us to move closer to running smarter models (like llama 3 70B un-quantized for example)?
So Apple M4 is estimated for release in October right? But the rumoured 512GB (unified RAM) version is likely to be at least a... | 2024-04-29T14:50:03 | https://www.reddit.com/r/LocalLLaMA/comments/1cg10wv/timelines_for_consumergrade_vram_or_unified_ram/ | y___o___y___o | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg10wv | false | null | t3_1cg10wv | /r/LocalLLaMA/comments/1cg10wv/timelines_for_consumergrade_vram_or_unified_ram/ | false | false | self | 56 | null |
BPE pre-tokenization support is now merged [llama.cpp] | 89 | [https://github.com/ggerganov/llama.cpp/pull/6920](https://github.com/ggerganov/llama.cpp/pull/6920) | 2024-04-29T14:47:49 | https://www.reddit.com/r/LocalLLaMA/comments/1cg0z1i/bpe_pretokenization_support_is_now_merged_llamacpp/ | RuslanAR | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg0z1i | false | null | t3_1cg0z1i | /r/LocalLLaMA/comments/1cg0z1i/bpe_pretokenization_support_is_now_merged_llamacpp/ | false | false | self | 89 | {'enabled': False, 'images': [{'id': 'dnt71ARW_x21OdcYDoXTq8eyBqNn3KO28Ny1kzFN9jY', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/yonqMIT3n3q_XBohWxv4PgxcDSwmFWBI1Z27b8r41y0.jpg?width=108&crop=smart&auto=webp&s=f6ac0bf2c1f47f61e364985519d759777c44556c', 'width': 108}, {'height': 108, 'url': 'h... |
What’s the best AI for OCR? | 6 | Llava dosen’t seem to work at all mb something else? Anything multilingual outperforming tesseract? | 2024-04-29T14:35:45 | https://www.reddit.com/r/LocalLLaMA/comments/1cg0ooz/whats_the_best_ai_for_ocr/ | Hatter_The_Mad | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg0ooz | false | null | t3_1cg0ooz | /r/LocalLLaMA/comments/1cg0ooz/whats_the_best_ai_for_ocr/ | false | false | self | 6 | null |
Is there a way to verify "backdoor tokens" inserted to LLAMA3? | 0 | My friend has trust issues with meta... | 2024-04-29T14:31:21 | https://www.reddit.com/r/LocalLLaMA/comments/1cg0ku3/is_there_a_way_to_verify_backdoor_tokens_inserted/ | Western_Soil_4613 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg0ku3 | false | null | t3_1cg0ku3 | /r/LocalLLaMA/comments/1cg0ku3/is_there_a_way_to_verify_backdoor_tokens_inserted/ | false | false | self | 0 | null |
Multi-agent system to repair formal specs | 10 | I wanted to share an interesting application scenario for a multi-agent LLM system.
Repairing formal specifications (formal specs) in software engineering is a daunting task. Formal specs describe precisely what a software system should do, and bugs in these specs can lead to incorrect or unsafe software behavior. Det... | 2024-04-29T14:29:04 | https://www.reddit.com/r/LocalLLaMA/comments/1cg0is7/multiagent_system_to_repair_formal_specs/ | Fancy_Gas5211 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg0is7 | false | null | t3_1cg0is7 | /r/LocalLLaMA/comments/1cg0is7/multiagent_system_to_repair_formal_specs/ | false | false | self | 10 | {'enabled': False, 'images': [{'id': 'mCf-gvgLGIf97C4Q5Pay7BZQzUkl4WPZs5p9Ug1Hclk', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/RigZZifec40luNenyE_Akjp1nwDkgYM3PY2sXKQiR9U.jpg?width=108&crop=smart&auto=webp&s=6f77c5c3077d3728cfb79ff9339119fb5fd7b59d', 'width': 108}, {'height': 113, 'url': 'h... |
Gradio Privacy Policy | 1 | [removed] | 2024-04-29T14:19:07 | https://www.reddit.com/r/LocalLLaMA/comments/1cg0a6d/gradio_privacy_policy/ | Sufficient-Rush-4994 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg0a6d | false | null | t3_1cg0a6d | /r/LocalLLaMA/comments/1cg0a6d/gradio_privacy_policy/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'UDnEY8IbT_WArIVGWDUZEZAEKr06_a8cl0mA6akaeOE', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/X_NF4VczRfdLiVaFQBl0WyT80Gx4a7eNha3PHO04Zok.jpg?width=108&crop=smart&auto=webp&s=e5275b0a599340c68dc44d3e78a4bc5992c644ce', 'width': 108}, {'height': 216, 'url': '... |
CrewAI + Local LLMs | 1 | [removed] | 2024-04-29T14:08:01 | https://www.reddit.com/r/LocalLLaMA/comments/1cg00ax/crewai_local_llms/ | Kreator333 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cg00ax | false | null | t3_1cg00ax | /r/LocalLLaMA/comments/1cg00ax/crewai_local_llms/ | false | false | self | 1 | null |
Comparison of Intel Arc A770 vs. Nvidia RTX 4060 for running LLM | 81 | Using IPEX-LLM ([https://github.com/intel-analytics/ipex-llm](https://github.com/intel-analytics/ipex-llm)) on Arc A770, and bitsandbytes ([https://github.com/TimDettmers/bitsandbytes](https://github.com/TimDettmers/bitsandbytes)) on RTX 4060
More details in the Intel blog ([https://game.intel.com/us/stories/wield-the... | 2024-04-29T14:06:41 | https://www.reddit.com/r/LocalLLaMA/comments/1cfzz50/comparison_of_intel_arc_a770_vs_nvidia_rtx_4060/ | bigbigmind | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfzz50 | false | null | t3_1cfzz50 | /r/LocalLLaMA/comments/1cfzz50/comparison_of_intel_arc_a770_vs_nvidia_rtx_4060/ | false | false | 81 | {'enabled': False, 'images': [{'id': 'f8ExmJNxkJYkCHa4H1Nl-vFgWRPqqyaT9TtJYqN1kig', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/bzVYnetrsRK-sN2UucAvlpCzdv_aZkXdqea2G0x2wjU.jpg?width=108&crop=smart&auto=webp&s=ec792f3324315cda2e1efe3b27f9c7d1ebaa747d', 'width': 108}, {'height': 108, 'url': 'h... | |
Loading csv files which have categorical data and numeric values into a graph to be used in RAG LLM setup? | 1 | [removed] | 2024-04-29T14:05:44 | https://www.reddit.com/r/LocalLLaMA/comments/1cfzydd/loading_csv_files_which_have_categorical_data_and/ | easy_breeze5634 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfzydd | false | null | t3_1cfzydd | /r/LocalLLaMA/comments/1cfzydd/loading_csv_files_which_have_categorical_data_and/ | false | false | self | 1 | null |
Is there a good model which can generate text that can pass as human and not ai? | 0 | Hi,
I have some spelling issues and it has always been something I was self-conscious about so I have been using ChatGPT 4.0 (paid) to rewrite or expand certain sentences or paragraphs in British, English.
I was wondering if there is a better model for this than ChatGPT?
Thanks for any help. | 2024-04-29T13:48:33 | https://www.reddit.com/r/LocalLLaMA/comments/1cfzk1u/is_there_a_good_model_which_can_generate_text/ | dlystyr | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfzk1u | false | null | t3_1cfzk1u | /r/LocalLLaMA/comments/1cfzk1u/is_there_a_good_model_which_can_generate_text/ | false | false | self | 0 | null |
Llama-cpp-Search: A local GenAI powered search engine using llama-cpp-python and the mighty Phi-3-Mini | 24 | Last weekend I experimented with the Llama-3 8B model on Groq and was mighty impressed by the generation speed. I then created a GenAI News Search engine using Llama 3 8B on Groq and a News API. The project/task was quite simple, retrieve the latest news based on the user query and then format the news for the model to... | 2024-04-29T13:36:30 | https://www.reddit.com/r/LocalLLaMA/comments/1cfzauv/llamacppsearch_a_local_genai_powered_search/ | thevatsalsaglani | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfzauv | false | null | t3_1cfzauv | /r/LocalLLaMA/comments/1cfzauv/llamacppsearch_a_local_genai_powered_search/ | false | false | self | 24 | {'enabled': False, 'images': [{'id': 'xk5xJu9rVvZX3Yg95E1A6RK3tseCMfWz2zFasucwhqA', 'resolutions': [{'height': 61, 'url': 'https://external-preview.redd.it/6NPhp5SVx1E4qdLHa9RmxAur9aS19gUSlJ7Cczfe-6k.jpg?width=108&crop=smart&auto=webp&s=2ff300ddf31851852ebc62875ac08d7594ea4955', 'width': 108}, {'height': 123, 'url': 'h... |
How to use phi-3 API? | 1 | [removed] | 2024-04-29T13:12:55 | https://www.reddit.com/r/LocalLLaMA/comments/1cfysm0/how_to_use_phi3_api/ | mostafaLaravel | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfysm0 | false | null | t3_1cfysm0 | /r/LocalLLaMA/comments/1cfysm0/how_to_use_phi3_api/ | false | false | self | 1 | null |
LLama3 wrong output format | 1 | [removed] | 2024-04-29T12:52:24 | https://www.reddit.com/r/LocalLLaMA/comments/1cfyd6l/llama3_wrong_output_format/ | Business_Stress_3306 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfyd6l | false | null | t3_1cfyd6l | /r/LocalLLaMA/comments/1cfyd6l/llama3_wrong_output_format/ | false | false | self | 1 | null |
CodeLlamaTokenizer vs AutoTokenizer | 1 | [removed] | 2024-04-29T12:36:43 | https://www.reddit.com/r/LocalLLaMA/comments/1cfy1vv/codellamatokenizer_vs_autotokenizer/ | orange_carrot1717 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfy1vv | false | null | t3_1cfy1vv | /r/LocalLLaMA/comments/1cfy1vv/codellamatokenizer_vs_autotokenizer/ | false | false | self | 1 | null |
Can you estimate what kind of hardware would be required to run the full 400b llama model | 1 | [removed] | 2024-04-29T12:29:57 | https://www.reddit.com/r/LocalLLaMA/comments/1cfxwtl/can_you_estimate_what_kind_of_hardware_would_be/ | Leading_Bandicoot358 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfxwtl | false | null | t3_1cfxwtl | /r/LocalLLaMA/comments/1cfxwtl/can_you_estimate_what_kind_of_hardware_would_be/ | false | false | self | 1 | null |
Llamas aren't software. | 1 | 2024-04-29T12:24:48 | BarrettM107A10 | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1cfxsxz | false | null | t3_1cfxsxz | /r/LocalLLaMA/comments/1cfxsxz/llamas_arent_software/ | false | false | 1 | {'enabled': True, 'images': [{'id': '8I7i-suNLbGKinWEALpxAK49fwnBFg5Z8nWwjOwPbYs', 'resolutions': [{'height': 106, 'url': 'https://preview.redd.it/f9d4onb1wexc1.png?width=108&crop=smart&auto=webp&s=8e3f6eef91f3e204f19c1305a02508cd629ed5c7', 'width': 108}, {'height': 212, 'url': 'https://preview.redd.it/f9d4onb1wexc1.pn... | |||
Difference between fine-tuning instruct/non-instruct LLMs | 12 | I'm thinking on fine-tuning llama 3 on a lesser known language that it already speaks, but not so fluently, and improve it's quality, plus enrich with new data it doesn't contain.
It seems like there's fundamental difference between fine-tuning instruct/non-instruct models. For the plain LLM(non-instruct) I could basi... | 2024-04-29T12:24:30 | https://www.reddit.com/r/LocalLLaMA/comments/1cfxspr/difference_between_finetuning_instructnoninstruct/ | mefistofeli | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfxspr | false | null | t3_1cfxspr | /r/LocalLLaMA/comments/1cfxspr/difference_between_finetuning_instructnoninstruct/ | false | false | self | 12 | null |
Mastering RAG from Scratch | 1 | 2024-04-29T11:46:29 | https://app.daily.dev/posts/mastering-rag-from-scratch-oosc29m85 | High_Sleep3694 | app.daily.dev | 1970-01-01T00:00:00 | 0 | {} | 1cfx294 | false | null | t3_1cfx294 | /r/LocalLLaMA/comments/1cfx294/mastering_rag_from_scratch/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'kxsnrQVxC6K0HOJQcPTNtWwbGpe06ckNX4idwvTcnHk', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/RUyr_lf8wTgIHEA4LX3tlOFhNVMovOMf8FpsaVooZc4.jpg?width=108&crop=smart&auto=webp&s=01c122e6ae83ee5f1dfaf70366c22210cfddf46f', 'width': 108}, {'height': 113, 'url': 'h... | ||
Raspberry PI 5 portable Llama 3 | 1 | [removed] | 2024-04-29T11:36:08 | https://www.reddit.com/r/LocalLLaMA/comments/1cfwviy/raspberry_pi_5_portable_llama_3/ | Tranki_88 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfwviy | false | null | t3_1cfwviy | /r/LocalLLaMA/comments/1cfwviy/raspberry_pi_5_portable_llama_3/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'qqlGtsA8a-9hzGIt5F-Zc-0ToocVj55Ixeok2cCQ0kw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/NFWv37YsUjcEtGE9DvZ3ip4SkwnUCgg8a60Un69ZM9U.jpg?width=108&crop=smart&auto=webp&s=7f38e5abf24405eef5f71fde446ebd51ac1e397c', 'width': 108}, {'height': 108, 'url': 'h... |
llama3:8b-text-q6_K returned a Twitter conversation lol. | 0 | I am using Ollama to run this model on docker. This is as it is from the Ollama library, I was just testing out different models.
I've had a better experience with wizardlm2:7b\_q6\_K tho. Much better.
https://preview.redd.it/151fztpnlexc1.png?width=700&format=png&auto=webp&s=42dad38deb810eb3ef6d7092efdc97a64d1a7... | 2024-04-29T11:28:51 | https://www.reddit.com/r/LocalLLaMA/comments/1cfwqr4/llama38btextq6_k_returned_a_twitter_conversation/ | bilalshafim | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfwqr4 | false | null | t3_1cfwqr4 | /r/LocalLLaMA/comments/1cfwqr4/llama38btextq6_k_returned_a_twitter_conversation/ | false | false | 0 | null | |
How long until we get good finetunes for llama 3 70b? | 1 | [removed] | 2024-04-29T11:23:13 | https://www.reddit.com/r/LocalLLaMA/comments/1cfwn9t/how_long_until_we_get_good_finetunes_for_llama_3/ | Optimal-Revenue3212 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfwn9t | false | null | t3_1cfwn9t | /r/LocalLLaMA/comments/1cfwn9t/how_long_until_we_get_good_finetunes_for_llama_3/ | false | false | self | 1 | null |
Best way to keep track of progress in specific traditional NLP tasks? | 2 | What's the best way to keep track of progress in specific traditional NLP tasks, particularly named entity recognition, text classification and sentiment analysis?
I am not sure what the best site for benchmarks for NLP currently is. I am mostly just doing regular Arxiv searches on each task and reading a selection of... | 2024-04-29T11:19:00 | https://www.reddit.com/r/LocalLLaMA/comments/1cfwklr/best_way_to_keep_track_of_progress_in_specific/ | Open_Channel_8626 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfwklr | false | null | t3_1cfwklr | /r/LocalLLaMA/comments/1cfwklr/best_way_to_keep_track_of_progress_in_specific/ | false | false | self | 2 | null |
RAG vs prompt | 0 | Hello everyone, I'm working on a simple chatbot for my company and I would like to add the ability to implement external information. I have already created a scraping algorithm and am able to obtain exactly the data I need. My question now is: should I pass these extracted data (string portions) via prompt or use a RA... | 2024-04-29T11:11:23 | https://www.reddit.com/r/LocalLLaMA/comments/1cfwfro/rag_vs_prompt/ | Legitimate-Ad1082 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfwfro | false | null | t3_1cfwfro | /r/LocalLLaMA/comments/1cfwfro/rag_vs_prompt/ | false | false | self | 0 | null |
What's the best CLIP vision model so far for MLLM? (Siglip? Not this one) | 1 | [removed] | 2024-04-29T11:04:09 | https://www.reddit.com/r/LocalLLaMA/comments/1cfwbao/whats_the_best_clip_vision_model_so_far_for_mllm/ | lucasjinreal | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfwbao | false | null | t3_1cfwbao | /r/LocalLLaMA/comments/1cfwbao/whats_the_best_clip_vision_model_so_far_for_mllm/ | false | false | self | 1 | null |
GGUF-format LLaVA-Llama-3-8B and LLaVA-Phi-3-mini | 131 | The GGUF-format weights for LLaVA-Llama-3-8B and LLaVA-Phi-3-mini (supporting FP16 and INT4 dtypes), have been released, supporting the deployment on LM Studio, llama.cpp, and ollama platforms.
Welcome to follow and star!
Code:
[https://github.com/InternLM/xtuner](https://github.com/InternLM/xtuner)
Model:
[h... | 2024-04-29T10:25:11 | https://www.reddit.com/r/LocalLLaMA/comments/1cfvobt/ggufformat_llavallama38b_and_llavaphi3mini/ | InternLM | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfvobt | false | null | t3_1cfvobt | /r/LocalLLaMA/comments/1cfvobt/ggufformat_llavallama38b_and_llavaphi3mini/ | false | false | 131 | {'enabled': False, 'images': [{'id': 'ovYcza92Kzv-pYi0_hwpzQGK7qcg_C9qK3PqveqlxHE', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/jzqYsghGE_zBgJe5TUaC0Y28QA4p-cmC6BK0epSGij0.jpg?width=108&crop=smart&auto=webp&s=7dba1a647606d4d06249b1342bc4a711c867bbe7', 'width': 108}, {'height': 108, 'url': 'h... | |
Automated document/book translation? | 1 | [removed] | 2024-04-29T10:21:45 | https://www.reddit.com/r/LocalLLaMA/comments/1cfvmaa/automated_documentbook_translation/ | fecid | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfvmaa | false | null | t3_1cfvmaa | /r/LocalLLaMA/comments/1cfvmaa/automated_documentbook_translation/ | false | false | self | 1 | null |
Raspberry PI 5 portable AI | 1 | [removed] | 2024-04-29T10:21:38 | https://www.reddit.com/r/LocalLLaMA/comments/1cfvm77/raspberry_pi_5_portable_ai/ | Tranki_88 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfvm77 | false | null | t3_1cfvm77 | /r/LocalLLaMA/comments/1cfvm77/raspberry_pi_5_portable_ai/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'qqlGtsA8a-9hzGIt5F-Zc-0ToocVj55Ixeok2cCQ0kw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/NFWv37YsUjcEtGE9DvZ3ip4SkwnUCgg8a60Un69ZM9U.jpg?width=108&crop=smart&auto=webp&s=7f38e5abf24405eef5f71fde446ebd51ac1e397c', 'width': 108}, {'height': 108, 'url': 'h... |
Accessing Internet for LLMs? | 1 | [removed] | 2024-04-29T10:14:26 | https://www.reddit.com/r/LocalLLaMA/comments/1cfvi06/accessing_internet_for_llms/ | 426Dimension | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfvi06 | false | null | t3_1cfvi06 | /r/LocalLLaMA/comments/1cfvi06/accessing_internet_for_llms/ | false | false | self | 1 | null |
Multimodal Dataset for models like Google Palm and TypeFly ? | 1 | [removed] | 2024-04-29T10:13:16 | https://www.reddit.com/r/LocalLLaMA/comments/1cfvhee/multimodal_dataset_for_models_like_google_palm/ | fat_fun_xox | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfvhee | false | null | t3_1cfvhee | /r/LocalLLaMA/comments/1cfvhee/multimodal_dataset_for_models_like_google_palm/ | false | false | self | 1 | null |
mlc-llm vs llama.cpp | 25 | Hi all,
I just recently started playing around with running LLM models locally, basically after the release of llama 3. I noticed that the [meta Llama 3 website](https://llama.meta.com/docs/llama-everywhere) points to [mlc-llm](https://github.com/mlc-ai/mlc-llm?tab=readme-ov-file#mlc-llm) as the way to run the model l... | 2024-04-29T09:42:34 | https://www.reddit.com/r/LocalLLaMA/comments/1cfv0xf/mlcllm_vs_llamacpp/ | trajo123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfv0xf | false | null | t3_1cfv0xf | /r/LocalLLaMA/comments/1cfv0xf/mlcllm_vs_llamacpp/ | false | false | self | 25 | null |
Cloud model hosting Vs local cost | 4 | I'm trying to decide whether to invest in running a 7b model locally or just running it on hugging face or similar for now. I have a decent PC but a terrible GPU at the moment so would have to buy a new GPU.
Has anyone had experience of running models in the cloud. There's so many different instance options on huggin... | 2024-04-29T09:33:22 | https://www.reddit.com/r/LocalLLaMA/comments/1cfuw7b/cloud_model_hosting_vs_local_cost/ | AnAIAteMyBaby | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfuw7b | false | null | t3_1cfuw7b | /r/LocalLLaMA/comments/1cfuw7b/cloud_model_hosting_vs_local_cost/ | false | false | self | 4 | null |
Prompting: Techniques for 'low chance of match' when answering questions about a text. | 1 | [removed] | 2024-04-29T09:25:33 | https://www.reddit.com/r/LocalLLaMA/comments/1cfusb5/prompting_techniques_for_low_chance_of_match_when/ | petrichorax | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfusb5 | false | null | t3_1cfusb5 | /r/LocalLLaMA/comments/1cfusb5/prompting_techniques_for_low_chance_of_match_when/ | false | false | self | 1 | null |
privateGPT Local Ollama make up wrong acronym meanings | 1 | I'm using privateGPT (mistralai/Mistral-7B-Instruct-v0.2) locally and I've not fined tuned any settings. So, using the default settings.
When I query my files it make up random meanings for acronyms in my files.
I have set the system prompt not to explain acronyms. But still no luck. Below are my askings in the syst... | 2024-04-29T09:14:21 | https://www.reddit.com/r/LocalLLaMA/comments/1cfume9/privategpt_local_ollama_make_up_wrong_acronym/ | skaveesh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfume9 | false | null | t3_1cfume9 | /r/LocalLLaMA/comments/1cfume9/privategpt_local_ollama_make_up_wrong_acronym/ | false | false | self | 1 | null |
Largest context vs RAG | 1 | I have a system (8700k @4.9ghz, 64GB Ram @ 4k mhz, RTX 4080) that i want to try to use as a coding/project assistant for Unreal Engine dev work. As the project as whole can’t be loaded into an LLM, and I don’t know C++ well (at all) I figured giving an LLM as much context as possible should be helpful. I want the sugge... | 2024-04-29T09:02:34 | https://www.reddit.com/r/LocalLLaMA/comments/1cfug6a/largest_context_vs_rag/ | beyawnko | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfug6a | false | null | t3_1cfug6a | /r/LocalLLaMA/comments/1cfug6a/largest_context_vs_rag/ | false | false | self | 1 | null |
Local LLM hardware setup advice | 1 | [removed] | 2024-04-29T08:50:18 | https://www.reddit.com/r/LocalLLaMA/comments/1cfu9nl/local_llm_hardware_setup_advice/ | AngeloDalli | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfu9nl | false | null | t3_1cfu9nl | /r/LocalLLaMA/comments/1cfu9nl/local_llm_hardware_setup_advice/ | false | false | self | 1 | null |
Assistance Needed with Setting Up Meta-Llama-3-8B-Instruct-GGUF | 3 |
Hey everyone!
I'm currently trying to run the GGUF version of the Llama 3 8B model, but I've run into a bit of a roadblock. It seems that there are several JSON files missing that are crucial for operation, such as the tokenizer configurations.
I cloned the model from this repository: [MaziyarPanahi/Meta-Llama-3-8... | 2024-04-29T08:28:05 | https://www.reddit.com/r/LocalLLaMA/comments/1cftyar/assistance_needed_with_setting_up/ | Guboken | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cftyar | false | null | t3_1cftyar | /r/LocalLLaMA/comments/1cftyar/assistance_needed_with_setting_up/ | false | false | self | 3 | {'enabled': False, 'images': [{'id': '8681GVMfmziSrawylRG5gkQSPSXZEUAUM44RzpeE4pM', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/SuwBlWuJ4W_kE4B_OzfGq_rZHaO6Ij8ILu5k3AoP2Ls.jpg?width=108&crop=smart&auto=webp&s=24d1043625165e6a7781fbc0e7578c383feb3fea', 'width': 108}, {'height': 116, 'url': 'h... |
Reverse-Akinator (A RAG experiment) | 19 | I created a game called Reverse-Akinator where the user will ask questions to find out the person, that has been randomly selected from a CSV file. At low level, it is a history-aware RAG application where the content is derived from their respective Wikipedia page. I am currently using Groq API for query answering, Vo... | 2024-04-29T08:25:25 | https://www.reddit.com/r/LocalLLaMA/comments/1cftx1g/reverseakinator_a_rag_experiment/ | kk17702 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cftx1g | false | null | t3_1cftx1g | /r/LocalLLaMA/comments/1cftx1g/reverseakinator_a_rag_experiment/ | false | false | self | 19 | {'enabled': False, 'images': [{'id': 'WmHh0nXwrVzpa49xyDJY8y4fm9nANeeA9DBFVfUxbT4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/1GeDItFHRY1BB7R2-fRah31_I8yIFmwKJouqVEw819o.jpg?width=108&crop=smart&auto=webp&s=0fb358588f9e672ddd362f7eba0cb650e0983c93', 'width': 108}, {'height': 108, 'url': 'h... |
Extending Llama 3 context with llama cpp | 8 | Has anyone tried it? Some models like Soliloquy or 3SOME are doing it, but I wonder if I can just change the settings (to what?) in the llama cpp loader and get an extended context. 8192 is nowadays a bit... short to be honest | 2024-04-29T08:21:35 | https://www.reddit.com/r/LocalLLaMA/comments/1cftv5t/extending_llama_3_context_with_llama_cpp/ | CulturedNiichan | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cftv5t | false | null | t3_1cftv5t | /r/LocalLLaMA/comments/1cftv5t/extending_llama_3_context_with_llama_cpp/ | false | false | self | 8 | null |
New Local LLM server | 1 | [removed] | 2024-04-29T08:12:35 | https://www.reddit.com/r/LocalLLaMA/comments/1cftqkc/new_local_llm_server/ | Aggravating_Gap_7358 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cftqkc | false | null | t3_1cftqkc | /r/LocalLLaMA/comments/1cftqkc/new_local_llm_server/ | false | false | self | 1 | null |
Forget GPU recommendations -- what are your RAM recommendations for CPU/gguf inferencing? | 1 | [removed] | 2024-04-29T08:12:18 | https://www.reddit.com/r/LocalLLaMA/comments/1cftqfd/forget_gpu_recommendations_what_are_your_ram/ | BlipOnNobodysRadar | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cftqfd | false | null | t3_1cftqfd | /r/LocalLLaMA/comments/1cftqfd/forget_gpu_recommendations_what_are_your_ram/ | false | false | self | 1 | null |
Best "Front-end" to use Local LLM ? | 1 | [removed] | 2024-04-29T08:07:31 | https://www.reddit.com/r/LocalLLaMA/comments/1cfto0j/best_frontend_to_use_local_llm/ | RedditNoobie777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfto0j | false | null | t3_1cfto0j | /r/LocalLLaMA/comments/1cfto0j/best_frontend_to_use_local_llm/ | false | false | self | 1 | null |
streaming in crewai | 1 | [removed] | 2024-04-29T08:07:14 | https://www.reddit.com/r/LocalLLaMA/comments/1cftnv6/streaming_in_crewai/ | esraaatmeh | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cftnv6 | false | null | t3_1cftnv6 | /r/LocalLLaMA/comments/1cftnv6/streaming_in_crewai/ | false | false | self | 1 | null |
Deploying Llama2 7B on inferentia2 | 1 | [removed] | 2024-04-29T08:02:35 | https://www.reddit.com/r/LocalLLaMA/comments/1cftlff/deploying_llama2_7b_on_inferentia2/ | LarsJ03 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cftlff | false | null | t3_1cftlff | /r/LocalLLaMA/comments/1cftlff/deploying_llama2_7b_on_inferentia2/ | false | false | self | 1 | null |
Any quants of CausalLM's (Command-R fine tune) 35b beta long? | 14 | Looking for gguf quants of this model here https://huggingface.co/CausalLM/35b-beta-long
Seems to be one of the only finetunes we have command-r 35b model and the test results look promising, and the datasets are the same ones used by other well known models. I want to try some personal testing of my own since those b... | 2024-04-29T07:40:19 | https://www.reddit.com/r/LocalLLaMA/comments/1cft9tq/any_quants_of_causallms_commandr_fine_tune_35b/ | lemon07r | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cft9tq | false | null | t3_1cft9tq | /r/LocalLLaMA/comments/1cft9tq/any_quants_of_causallms_commandr_fine_tune_35b/ | false | false | self | 14 | {'enabled': False, 'images': [{'id': 'YF2e0kXFByutQWMgADoQHVKAuX9_8-vhM22cMLsXWMs', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/OCU8qIjfPaT1ZOg2GrnLmc-GnTBTWgs1OZ06JDG1O2g.jpg?width=108&crop=smart&auto=webp&s=00aa63ad00322b750da9734176de5fbb538bd358', 'width': 108}, {'height': 116, 'url': 'h... |
Post OCR correction using Bi-directional BERT | 1 | [removed] | 2024-04-29T07:19:55 | https://www.reddit.com/r/LocalLLaMA/comments/1cfsz4o/post_ocr_correction_using_bidirectional_bert/ | Hour-Butterscotch952 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfsz4o | false | null | t3_1cfsz4o | /r/LocalLLaMA/comments/1cfsz4o/post_ocr_correction_using_bidirectional_bert/ | false | false | self | 1 | null |
nab question | 0 | If someone use md5 as training data only in a training from scratch approach.. will be the model able to generalize at the point to reverse unknown md5 words? | 2024-04-29T07:13:59 | https://www.reddit.com/r/LocalLLaMA/comments/1cfsw3t/nab_question/ | fab_space | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfsw3t | false | null | t3_1cfsw3t | /r/LocalLLaMA/comments/1cfsw3t/nab_question/ | false | false | self | 0 | null |
[Help] Ollama not using GPU. | 1 | [removed] | 2024-04-29T07:13:06 | https://www.reddit.com/r/LocalLLaMA/comments/1cfsvns/help_ollama_not_using_gpu/ | RedditNoobie777 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfsvns | false | null | t3_1cfsvns | /r/LocalLLaMA/comments/1cfsvns/help_ollama_not_using_gpu/ | false | false | self | 1 | null |
Need advice. Can I run Llama 3 70b with a 3090? | 1 | [removed] | 2024-04-29T06:35:05 | https://www.reddit.com/r/LocalLLaMA/comments/1cfsbj1/need_advice_can_i_run_llama_3_70b_with_a_3090/ | TotalAcanthisitta366 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfsbj1 | false | null | t3_1cfsbj1 | /r/LocalLLaMA/comments/1cfsbj1/need_advice_can_i_run_llama_3_70b_with_a_3090/ | false | false | self | 1 | null |
Can I run Llama 3 70b with a 3090? | 1 | [removed] | 2024-04-29T06:33:16 | https://www.reddit.com/r/LocalLLaMA/comments/1cfsak8/can_i_run_llama_3_70b_with_a_3090/ | TotalAcanthisitta366 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfsak8 | false | null | t3_1cfsak8 | /r/LocalLLaMA/comments/1cfsak8/can_i_run_llama_3_70b_with_a_3090/ | false | false | self | 1 | null |
Regarding Ray Serve | 3 | As Ray Serve claims, they can manage multiple models with Ray framework over these multiple GPUs.
I would like two use LLM in two different GPU.
Currently Finding difficulty finding useful resource. Can you share some useful resource to achieve this? | 2024-04-29T06:20:10 | https://www.reddit.com/r/LocalLLaMA/comments/1cfs38y/regarding_ray_serve/ | Helpful_Visit4590 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfs38y | false | null | t3_1cfs38y | /r/LocalLLaMA/comments/1cfs38y/regarding_ray_serve/ | false | false | self | 3 | null |
Can I run Llama 3 70b with a 3090? | 1 | [removed] | 2024-04-29T06:03:50 | https://www.reddit.com/r/LocalLLaMA/comments/1cfru1h/can_i_run_llama_3_70b_with_a_3090/ | TotalAcanthisitta366 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfru1h | false | null | t3_1cfru1h | /r/LocalLLaMA/comments/1cfru1h/can_i_run_llama_3_70b_with_a_3090/ | false | false | self | 1 | null |
Enterprise RAG setting | 3 | Hello!
I have a question regarding the management of huge collections of documents for an enterprise RAG application. Let's say that you rely on a vector database like Qdrant for performing vector or hybrid search. Ok, this solves one problem, but there is still the problem of managing the collection of documents: sto... | 2024-04-29T05:58:05 | https://www.reddit.com/r/LocalLLaMA/comments/1cfrqlz/enterprise_rag_setting/ | fripperML | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfrqlz | false | null | t3_1cfrqlz | /r/LocalLLaMA/comments/1cfrqlz/enterprise_rag_setting/ | false | false | self | 3 | null |
LLaMA for SQL to Natural Language? | 7 | I want to use a LLM through LM Studio or ollama to read a given query and translate it to Natural Language so non-technical users can understand what it does. I want to locally serve this model so I can automate this task for dozens of functions.
​
I've tried llama3 but honestly the result was very poor. The ... | 2024-04-29T05:41:19 | https://www.reddit.com/r/LocalLLaMA/comments/1cfrh6u/llama_for_sql_to_natural_language/ | CadeOCarimbo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfrh6u | false | null | t3_1cfrh6u | /r/LocalLLaMA/comments/1cfrh6u/llama_for_sql_to_natural_language/ | false | false | self | 7 | null |
Is there a possibility to create a cluster of physical hosts to run a LLM? | 5 | I have a c7000 blade enclosure hosting 16 blades (Linux host) with each dual socket Xeon CPUs. Each blade has 256GB of RAM and there is an InfiniBand link on them so in theory "low latency" connections are possible.
I guess the answer is no, but is there a possibility of running a LLM on a cluster over multiple hosts ... | 2024-04-29T05:02:46 | https://www.reddit.com/r/LocalLLaMA/comments/1cfquqq/is_there_a_possibility_to_create_a_cluster_of/ | ConstructionSafe2814 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfquqq | false | null | t3_1cfquqq | /r/LocalLLaMA/comments/1cfquqq/is_there_a_possibility_to_create_a_cluster_of/ | false | false | self | 5 | null |
Is it possible to train a fine tune of the llama base model so that I can enter a whole book but basically have the book respond intelligently? | 15 | I've already tried this with the 32k version the llama 3 model. I put the text in and it is wonderfully good at answering any questions about the text. My only problem is that the context window is quite small... or my memory runs out, one of the two. My question is if it's possible to encode a longer text in the fi... | 2024-04-29T03:46:56 | https://www.reddit.com/r/LocalLLaMA/comments/1cfpj8c/is_it_possible_to_train_a_fine_tune_of_the_llama/ | Red_Redditor_Reddit | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfpj8c | false | null | t3_1cfpj8c | /r/LocalLLaMA/comments/1cfpj8c/is_it_possible_to_train_a_fine_tune_of_the_llama/ | false | false | self | 15 | null |
Strategies to Enhance the Efficiency of the Re-ranker Model 'mixedbread-ai/mxbai-rerank-base-v1 | 1 | [removed] | 2024-04-29T03:32:16 | https://www.reddit.com/r/LocalLLaMA/comments/1cfpa0e/strategies_to_enhance_the_efficiency_of_the/ | Lucky_Flatworm_9266 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfpa0e | false | null | t3_1cfpa0e | /r/LocalLLaMA/comments/1cfpa0e/strategies_to_enhance_the_efficiency_of_the/ | false | false | self | 1 | null |
Finetuning in multiple stage | 1 | [removed] | 2024-04-29T03:22:51 | https://www.reddit.com/r/LocalLLaMA/comments/1cfp3zn/finetuning_in_multiple_stage/ | Lopsided_Ad5257 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfp3zn | false | null | t3_1cfp3zn | /r/LocalLLaMA/comments/1cfp3zn/finetuning_in_multiple_stage/ | false | false | self | 1 | null |
Is there a streamlined front-end for TTS? | 43 | Image generation has ComfyUI, Automatic1111, ForgeUI etc.
Text generation has Ollama, LM Studio, Kobold etc.
What does Audio/Voice generation have? It seems every project is completely on its own and doesn't offer a user-friendly UI. At best you will get a Jupyter notebook. | 2024-04-29T03:15:58 | https://www.reddit.com/r/LocalLLaMA/comments/1cfozh4/is_there_a_streamlined_frontend_for_tts/ | AlchemistPsyche | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfozh4 | false | null | t3_1cfozh4 | /r/LocalLLaMA/comments/1cfozh4/is_there_a_streamlined_frontend_for_tts/ | false | false | self | 43 | null |
Mistral.rs: A Lightning-Fast LLM Inference Platform with Device Support, Quantization, and Open-AI API Compatible HTTP Server and Python Bindings | 68 | 2024-04-29T02:51:00 | https://www.marktechpost.com/2024/04/28/mistral-rs-a-lightning-fast-llm-inference-platform-with-device-support-quantization-and-open-ai-api-compatible-http-server-and-python-bindings/ | __null-ptr__ | marktechpost.com | 1970-01-01T00:00:00 | 0 | {} | 1cfoii6 | false | null | t3_1cfoii6 | /r/LocalLLaMA/comments/1cfoii6/mistralrs_a_lightningfast_llm_inference_platform/ | false | false | 68 | {'enabled': False, 'images': [{'id': '4iM034A2Y9ytfjWy6dGKGDw2_9jkDJSxR4bs-eK_e9s', 'resolutions': [{'height': 76, 'url': 'https://external-preview.redd.it/rQtrJdmVZEq9rqITZOHamfp38R_AwxeTA4n2N3PQ4XE.jpg?width=108&crop=smart&auto=webp&s=e29495bfddfbf88fe0d76c907aee57261897e515', 'width': 108}, {'height': 152, 'url': 'h... | ||
AlphaGo for general reasoning | 1 | [removed] | 2024-04-29T02:40:29 | https://www.reddit.com/r/LocalLLaMA/comments/1cfob7f/alphago_for_general_reasoning/ | haveyoueverwentfast | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfob7f | false | null | t3_1cfob7f | /r/LocalLLaMA/comments/1cfob7f/alphago_for_general_reasoning/ | false | false | self | 1 | null |
Automating workflows for teams of agents for each task | 1 | I've been dabbling on running llama 2 and 3 locally with rag and recently some agentic frameworks, like langGraph, but all of my projects always falls flat on the setup and otimization of system prompts and pipeline flow for each 'crew' of agents/llamas since each goal is so different/specific. So I had this random tho... | 2024-04-29T02:27:31 | https://www.reddit.com/r/LocalLLaMA/comments/1cfo23f/automating_workflows_for_teams_of_agents_for_each/ | gobbolegal | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfo23f | false | null | t3_1cfo23f | /r/LocalLLaMA/comments/1cfo23f/automating_workflows_for_teams_of_agents_for_each/ | false | false | self | 1 | null |
Training an LLM from scratch | 1 | [removed] | 2024-04-29T01:50:44 | https://www.reddit.com/r/LocalLLaMA/comments/1cfnblc/training_an_llm_from_scratch/ | Acceptable-Truck-356 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfnblc | false | null | t3_1cfnblc | /r/LocalLLaMA/comments/1cfnblc/training_an_llm_from_scratch/ | false | false | self | 1 | null |
Simple "Sure" jailbreak for LLaMA-3 (how to uncensor it) | 206 | 1. Ask your "bad" question
2. It will answer "I cannot blah-blah.."
3. Stop generating
4. Manually edit the generated response to make it start from "Sure, ...."
5. Click Continue
[Before](https://preview.redd.it/pzqem6s7mbxc1.png?width=1311&format=png&auto=webp&s=8fc05c87e672daf38381f38ef31e2e1345ce4c7c)
[After]... | 2024-04-29T01:25:56 | https://www.reddit.com/r/LocalLLaMA/comments/1cfmtvb/simple_sure_jailbreak_for_llama3_how_to_uncensor/ | Lost_Care7289 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1cfmtvb | false | null | t3_1cfmtvb | /r/LocalLLaMA/comments/1cfmtvb/simple_sure_jailbreak_for_llama3_how_to_uncensor/ | false | false | 206 | null |
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