title stringlengths 1 300 | score int64 0 8.54k | selftext stringlengths 0 41.5k | created timestamp[ns]date 2023-04-01 04:30:41 2026-03-04 02:14:14 ⌀ | url stringlengths 0 878 | author stringlengths 3 20 | domain stringlengths 0 82 | edited timestamp[ns]date 1970-01-01 00:00:00 2026-02-19 14:51:53 | gilded int64 0 2 | gildings stringclasses 7
values | id stringlengths 7 7 | locked bool 2
classes | media stringlengths 646 1.8k ⌀ | name stringlengths 10 10 | permalink stringlengths 33 82 | spoiler bool 2
classes | stickied bool 2
classes | thumbnail stringlengths 4 213 ⌀ | ups int64 0 8.54k | preview stringlengths 301 5.01k ⌀ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Different score for embedding vs. sentence similarity | 1 | [removed] | 2024-03-19T09:23:34 | https://www.reddit.com/r/LocalLLaMA/comments/1big3mc/different_score_for_embedding_vs_sentence/ | silvanoluciano | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1big3mc | false | null | t3_1big3mc | /r/LocalLLaMA/comments/1big3mc/different_score_for_embedding_vs_sentence/ | false | false | self | 1 | null |
Windows Copilot Purpose | 1 | [removed] | 2024-03-19T09:05:16 | https://www.reddit.com/r/LocalLLaMA/comments/1bifunt/windows_copilot_purpose/ | NancySadkov | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bifunt | false | null | t3_1bifunt | /r/LocalLLaMA/comments/1bifunt/windows_copilot_purpose/ | false | false | self | 1 | null |
Why are Cohere models not in Chatbot Arena? | 5 | We are performing some research with Command-R and I wonder why are they not competing in the ELO ranking. Is there a corporate decision on their side? Why would they do so? | 2024-03-19T08:43:49 | https://www.reddit.com/r/LocalLLaMA/comments/1bifkbf/why_are_cohere_models_not_in_chatbot_arena/ | illorca-verbi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bifkbf | false | null | t3_1bifkbf | /r/LocalLLaMA/comments/1bifkbf/why_are_cohere_models_not_in_chatbot_arena/ | false | false | self | 5 | null |
Quanto | 3 | Quanto: a pytorch quantization toolkit
Quanto, a pytorch quantization toolkit that makes it easier to quantize deep learning models.
Quanto allows you to quantize models using low-precision data types like 8-bit integer instead of 32-bit floating point. This reduces the amount of memory storage required, which is imp... | 2024-03-19T08:10:57 | https://huggingface.co/blog/quanto-introduction | International_Quail8 | huggingface.co | 1970-01-01T00:00:00 | 0 | {} | 1bif4xw | false | null | t3_1bif4xw | /r/LocalLLaMA/comments/1bif4xw/quanto/ | false | false | 3 | {'enabled': False, 'images': [{'id': 'msdzdPToQ5L4YaV0518wV-R8-XW7RGVveL3QQPv_9ig', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/x0bqn6v4SebCT28nPccAHXd-0ZRveFj1Farwhd9GRQI.jpg?width=108&crop=smart&auto=webp&s=d990ba6a024ad77b8995dcc4b9452e14d3fd08d7', 'width': 108}, {'height': 108, 'url': 'h... | |
Re-sizeable BAR (REBAR) impact on performance | 3 | Just checking my GPU settings today I noticed that re-sizeable BAR (REBAR) was not enabled.
Has anyone done benchmarks to see what the performance impact of having rebar enabled is?
nvidia-smi -q | grep -i bar -A 3
**BAR**1 Memory Usage
Total : 256 MiB
Used ... | 2024-03-19T07:59:52 | https://www.reddit.com/r/LocalLLaMA/comments/1biezii/resizeable_bar_rebar_impact_on_performance/ | DeltaSqueezer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1biezii | false | null | t3_1biezii | /r/LocalLLaMA/comments/1biezii/resizeable_bar_rebar_impact_on_performance/ | false | false | self | 3 | null |
Which model is close or better to GPT-3.5 | 30 | I use GPT 3.5 to learn european languages.
I thought maybe I can live without using ChatGPT, but something local. Which model would you recommend instead?
I use it for learning words and grammar. | 2024-03-19T07:33:57 | https://www.reddit.com/r/LocalLLaMA/comments/1bien6s/which_model_is_close_or_better_to_gpt35/ | scratt007 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bien6s | false | null | t3_1bien6s | /r/LocalLLaMA/comments/1bien6s/which_model_is_close_or_better_to_gpt35/ | false | false | self | 30 | null |
Is there any Opensource LLM trained on multiple languages? | 4 | And how to train one in a language, can someeone ELI5? | 2024-03-19T06:58:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bie56m/is_there_any_opensource_llm_trained_on_multiple/ | Trysem | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bie56m | false | null | t3_1bie56m | /r/LocalLLaMA/comments/1bie56m/is_there_any_opensource_llm_trained_on_multiple/ | false | false | self | 4 | null |
Data on Star Trek is an example of how we use, and react to, LLMs | 1 | [removed] | 2024-03-19T05:39:12 | https://www.reddit.com/r/LocalLLaMA/comments/1biczcu/data_on_star_trek_is_an_example_of_how_we_use_and/ | TMWNN | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1biczcu | false | null | t3_1biczcu | /r/LocalLLaMA/comments/1biczcu/data_on_star_trek_is_an_example_of_how_we_use_and/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '1ZHNbc7T_nb_FzVJiIH2bOBmxgXew1Lrn8rnJyAqAqQ', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/lIHVt-KdsRz5yaUJt7yiTM4Xby2mrmGJJc5G3iW0M3o.jpg?width=108&crop=smart&auto=webp&s=d5314220e6cbbe899d4d670b5e5278dae261e112', 'width': 108}, {'height': 162, 'url': 'h... |
LM Studio, AMD ROCm™ is not being shown as the detected GPU type. | 1 | LM Studio: 02.16
AMD Driver:24.2.1
Graphic Card: RX 7600 XT
Processor R7 3800 X so no iGPU
It says Navi 33 Shader ISA
GFX11.0 (gfx1102) is supported
​
changing json doesnt work:
{
"gpuType": "unknown",
"modelFileFormat": "gguf"
}
\[21:26\]
the file doesnt except the manual change
\[21:26\]
aft... | 2024-03-19T05:01:35 | https://www.reddit.com/r/LocalLLaMA/comments/1bice32/lm_studio_amd_rocm_is_not_being_shown_as_the/ | SanctaNox2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bice32 | false | null | t3_1bice32 | /r/LocalLLaMA/comments/1bice32/lm_studio_amd_rocm_is_not_being_shown_as_the/ | false | false | self | 1 | null |
A year ago vs today at Nvidia's Event | 1 | Just a year ago vs today at Nvidia's Event | 2024-03-19T04:32:18 | https://www.reddit.com/r/LocalLLaMA/comments/1bibvvd/a_year_ago_vs_today_at_nvidias_event/ | kernel348 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bibvvd | false | null | t3_1bibvvd | /r/LocalLLaMA/comments/1bibvvd/a_year_ago_vs_today_at_nvidias_event/ | false | false | self | 1 | null |
How would I add my own training data (ex: like a pdf of data) to a llm? | 3 | Kind of like GPT 4's "knowledge" feature. How would I have a llm use some of my pdfs that contain data of how it should act | 2024-03-19T03:56:46 | https://www.reddit.com/r/LocalLLaMA/comments/1bib8i8/how_would_i_add_my_own_training_data_ex_like_a/ | centerdeveloper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bib8i8 | false | null | t3_1bib8i8 | /r/LocalLLaMA/comments/1bib8i8/how_would_i_add_my_own_training_data_ex_like_a/ | false | false | self | 3 | null |
I have been coding with Mixtral everyday it has saved me days of work. | 327 | Recently, I've been working on a new project in golang, which I haven't worked with in a couple years.
I have almost completely replaced the time I usually spend searching stackoverflow for the simple, routine stuff (like how to easily filter a list in golang like I can in python), and then adapting whatever answer I ... | 2024-03-19T03:41:32 | https://www.reddit.com/r/LocalLLaMA/comments/1biay4h/i_have_been_coding_with_mixtral_everyday_it_has/ | mythicinfinity | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1biay4h | false | null | t3_1biay4h | /r/LocalLLaMA/comments/1biay4h/i_have_been_coding_with_mixtral_everyday_it_has/ | false | false | self | 327 | null |
An Answer to How Perplexity Is So Fast: | 106 | So I was inspired by the [recent post about Perplexity](https://www.reddit.com/r/LocalLLaMA/comments/1bh6o3e/reverse_engineering_perplexity/) simply being a Bing search wrapper.
A year ago a friend and I were in need of a perplexity style LLM that could actually access search results and recent information (this was... | 2024-03-19T03:38:46 | https://www.reddit.com/r/LocalLLaMA/comments/1biaw5b/an_answer_to_how_perplexity_is_so_fast/ | TonightGrand | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1biaw5b | false | null | t3_1biaw5b | /r/LocalLLaMA/comments/1biaw5b/an_answer_to_how_perplexity_is_so_fast/ | false | false | self | 106 | {'enabled': False, 'images': [{'id': 'U0EcHNFGzjt-dp7iVnLp_KU_iprVDtwc0xXZjPmqusg', 'resolutions': [{'height': 108, 'url': 'https://external-preview.redd.it/eYUiFAa1MdZCw96ohSDHRs-ZWJSmO4hdhQT2CtnKLOo.jpg?width=108&crop=smart&auto=webp&s=dcda3f4e6be0d8fb88162084b7975307ce3e34a0', 'width': 108}], 'source': {'height': 20... |
Thoughts on cloud GPU providers? | 1 | [removed] | 2024-03-19T03:27:03 | https://www.reddit.com/r/LocalLLaMA/comments/1bianpu/thoughts_on_cloud_gpu_providers/ | anehzat | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bianpu | false | null | t3_1bianpu | /r/LocalLLaMA/comments/1bianpu/thoughts_on_cloud_gpu_providers/ | false | false | self | 1 | null |
Best models for generating unit tests and best practices? | 3 | Much appreciated! | 2024-03-19T03:13:00 | https://www.reddit.com/r/LocalLLaMA/comments/1biadpi/best_models_for_generating_unit_tests_and_best/ | gaztrab | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1biadpi | false | null | t3_1biadpi | /r/LocalLLaMA/comments/1biadpi/best_models_for_generating_unit_tests_and_best/ | false | false | self | 3 | null |
Is there a list of language model benchmarks somewhere? Better yet, an aggregation of scores across multiple benchmarks into a meta-benchmark? | 4 | Most publications cite the same 5-6 benchmarks (MMLU, HumanEval etc.). But surely, there must be many more. Where can I find them? | 2024-03-19T02:59:09 | https://www.reddit.com/r/LocalLLaMA/comments/1bia3pr/is_there_a_list_of_language_model_benchmarks/ | -p-e-w- | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bia3pr | false | null | t3_1bia3pr | /r/LocalLLaMA/comments/1bia3pr/is_there_a_list_of_language_model_benchmarks/ | false | false | self | 4 | null |
Amd gpu for inference | 4 | I'm searching for a GPU to run my LLM, and I noticed that AMD GPUs have larger VRAM and cost less than NVIDIA models. Despite these advantages, why aren't more people using them for inference tasks? | 2024-03-19T02:59:05 | https://www.reddit.com/r/LocalLLaMA/comments/1bia3nr/amd_gpu_for_inference/ | absurd-dream-studio | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bia3nr | false | null | t3_1bia3nr | /r/LocalLLaMA/comments/1bia3nr/amd_gpu_for_inference/ | false | false | self | 4 | null |
Hardware Specs Question for Local LLM | 2 | Is there a good reddit channel, where I can post question about custom PC specs to run LLM on my local machine? I guess the moderator doesn't want this channel to be about hardware Q/A for local LLM.
Please advise. | 2024-03-19T02:48:46 | https://www.reddit.com/r/LocalLLaMA/comments/1bi9w2q/hardware_specs_question_for_local_llm/ | imtu80 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi9w2q | false | null | t3_1bi9w2q | /r/LocalLLaMA/comments/1bi9w2q/hardware_specs_question_for_local_llm/ | false | false | self | 2 | null |
Custom Build PC for LLM (Possibly a Repeat Question) | 1 | I am due for a new computer. I was debating between a custom PC or M2 Studio Ultra. I am expecting a M3 Studio Ultra this year but don't want to wait for it. I am getting refurbished RTX 3090 for $700 each, therefore leaning towards building a PC. Below is the quote I got from a local computer store. Just want to run ... | 2024-03-19T02:17:03 | https://www.reddit.com/r/LocalLLaMA/comments/1bi98kl/custom_build_pc_for_llm_possibly_a_repeat_question/ | imtu80 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi98kl | false | null | t3_1bi98kl | /r/LocalLLaMA/comments/1bi98kl/custom_build_pc_for_llm_possibly_a_repeat_question/ | false | false | self | 1 | null |
Best open source model for converting large context into standalone question? | 4 | I am currently building an app that requires running LLMs 5 - 10 times per user query to convert large query contexts (including RAG context, chat history, and user question) into standalone questions that can then be fed into another LLM in a complete and context independent format.
My current plan is use Claude 3 Ha... | 2024-03-19T01:52:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bi8qdb/best_open_source_model_for_converting_large/ | Try_StockAnalystGPT | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi8qdb | false | null | t3_1bi8qdb | /r/LocalLLaMA/comments/1bi8qdb/best_open_source_model_for_converting_large/ | false | false | self | 4 | null |
What's the best open-source model for converting large context into standalone question? | 1 | [removed] | 2024-03-19T01:41:36 | https://www.reddit.com/r/LocalLLaMA/comments/1bi8huv/whats_the_best_opensource_model_for_converting/ | Open-Source-Model | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi8huv | false | null | t3_1bi8huv | /r/LocalLLaMA/comments/1bi8huv/whats_the_best_opensource_model_for_converting/ | false | false | self | 1 | null |
Loading model weight? | 1 | Many articles I read mention that model has to be loaded for requests/batch of requests.
I always thought that model is only loaded once and used for subsequent requests. Am I understanding wrongly?
“Request Batching
One of the most effective and increasingly employed methods for increasing an LLM’s throughput is batc... | 2024-03-19T01:19:29 | https://www.reddit.com/r/LocalLLaMA/comments/1bi80y9/loading_model_weight/ | butrimodre | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi80y9 | false | null | t3_1bi80y9 | /r/LocalLLaMA/comments/1bi80y9/loading_model_weight/ | false | false | self | 1 | null |
Why Tinygrad over PyTorch+Triton? | 21 | Came across this beautiful analysis of [Tinygrad's Market Thesis](https://www.reddit.com/r/LocalLLaMA/comments/18lsle6/a_brief_critical_review_of_tinygrads_market_thesis/).
Given the availability of PyTorch and Triton, which offer flexibility and performance optimizations, what are the key advantages of using Tiny... | 2024-03-19T00:36:52 | https://www.reddit.com/r/LocalLLaMA/comments/1bi739j/why_tinygrad_over_pytorchtriton/ | TheFibo1123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi739j | false | null | t3_1bi739j | /r/LocalLLaMA/comments/1bi739j/why_tinygrad_over_pytorchtriton/ | false | false | self | 21 | null |
What is better a 7b Q6_K or a 16B 3K_S model? | 3 | They are both using the LLama arcitecture.
One of them is called the bloke mistral instruct, and the other is called nanbeige 16b chat.
I can run them both with a full gpu offload on my gaming handheld I just want to know which one is better. | 2024-03-18T21:44:31 | https://www.reddit.com/r/LocalLLaMA/comments/1bi2xpp/what_is_better_a_7b_q6_k_or_a_16b_3k_s_model/ | Anotheeeeeeant | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi2xpp | false | null | t3_1bi2xpp | /r/LocalLLaMA/comments/1bi2xpp/what_is_better_a_7b_q6_k_or_a_16b_3k_s_model/ | false | false | self | 3 | null |
Which is the best chat service offering multiple closed and open models? | 1 | [removed] | 2024-03-18T21:36:30 | https://www.reddit.com/r/LocalLLaMA/comments/1bi2qd4/which_is_the_best_chat_service_offering_multiple/ | SideShow_Bot | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi2qd4 | false | null | t3_1bi2qd4 | /r/LocalLLaMA/comments/1bi2qd4/which_is_the_best_chat_service_offering_multiple/ | false | false | self | 1 | null |
Quantification vs parameters | 1 | Which llama model is better: a model with more parameters, but a quantified one or a full-fledged model with fewer parameters? Provided that they occupy the same amount of memory. | 2024-03-18T21:36:23 | https://www.reddit.com/r/LocalLLaMA/comments/1bi2q9p/quantification_vs_parameters/ | maxy98 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi2q9p | false | null | t3_1bi2q9p | /r/LocalLLaMA/comments/1bi2q9p/quantification_vs_parameters/ | false | false | self | 1 | null |
Can Miqu be finetuned? | 8 | Is it just "illicit"? | 2024-03-18T21:35:47 | https://www.reddit.com/r/LocalLLaMA/comments/1bi2pr2/can_miqu_be_finetuned/ | cold-depths | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi2pr2 | false | null | t3_1bi2pr2 | /r/LocalLLaMA/comments/1bi2pr2/can_miqu_be_finetuned/ | false | false | self | 8 | null |
Model Suggestions. [Light-weight, Fine-Tuning] | 1 | I want to fine-tune a chat model to a RPG rulebook I have. Does anyone have suggestions for a light-weight model i can fine-tune with my data? | 2024-03-18T21:25:56 | https://www.reddit.com/r/LocalLLaMA/comments/1bi2gnc/model_suggestions_lightweight_finetuning/ | Spookymoree | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi2gnc | false | null | t3_1bi2gnc | /r/LocalLLaMA/comments/1bi2gnc/model_suggestions_lightweight_finetuning/ | false | false | self | 1 | null |
Model suggestions | 1 | I want to fine-tune a model to a RPG rulebook I have. Does anyone have suggestions for a light-weight model i can fine-tune with my data? | 2024-03-18T21:24:24 | https://www.reddit.com/r/LocalLLaMA/comments/1bi2f8w/model_suggestions/ | Spookymoree | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi2f8w | false | null | t3_1bi2f8w | /r/LocalLLaMA/comments/1bi2f8w/model_suggestions/ | false | false | self | 1 | null |
Largest model size revealed to be 1.8T parameters? Apparently a GPT-MoE model | 311 | So in today's GTC Jensen dropped a seemingly juicy nugget about the largest models today, stating "the largest model today is 1.8T parameters and will take a thousand years to train even by a petaflop GPU". Was this 1.8T model size previously known or do we now know potentially know something new about the largest mode... | 2024-03-18T20:56:26 | AbheekG | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bi1p10 | false | null | t3_1bi1p10 | /r/LocalLLaMA/comments/1bi1p10/largest_model_size_revealed_to_be_18t_parameters/ | false | false | 311 | {'enabled': True, 'images': [{'id': 'Q9cgxjI5PduYicsovCTWNRxPBxDRSHMUhcyDbE9xi6I', 'resolutions': [{'height': 60, 'url': 'https://preview.redd.it/bvzycr71p5pc1.jpeg?width=108&crop=smart&auto=webp&s=07c486e9c247f2d6be643b86a60d9ec7ef11299c', 'width': 108}, {'height': 121, 'url': 'https://preview.redd.it/bvzycr71p5pc1.jp... | ||
What approach would you take to have better accuracy for a low resource language than chatGPT or Claude? | 2 | Claude 3 Sonnet performs pretty good in my local language. Chatgpt is slighty worse. Would it be hypothetically possible to achieve better accuracy by training an open-source model like Mixtral on language-specific data ? If so, what's a reasonable scale of data required? | 2024-03-18T20:49:14 | https://www.reddit.com/r/LocalLLaMA/comments/1bi1i9o/what_approach_would_you_take_to_have_better/ | StrayyLight | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi1i9o | false | null | t3_1bi1i9o | /r/LocalLLaMA/comments/1bi1i9o/what_approach_would_you_take_to_have_better/ | false | false | self | 2 | null |
Any windows UI that can handle AI workflows seamlessly between ChatGPT, Cloud GPU, and Local Models? | 2 | Hi, it's hard to keep up with all the tools so this might seem daft to some, but I did look. Most tools seem focused on Cloud OR local. I want to run simple fine tuned models locally but be able to swap to either cloud gpu, cloud apis with custom models/loras (like predibase), or ChatGPT/Claude etc for different tasks.... | 2024-03-18T20:48:10 | https://www.reddit.com/r/LocalLLaMA/comments/1bi1hb2/any_windows_ui_that_can_handle_ai_workflows/ | IrishWilly | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi1hb2 | false | null | t3_1bi1hb2 | /r/LocalLLaMA/comments/1bi1hb2/any_windows_ui_that_can_handle_ai_workflows/ | false | false | self | 2 | null |
New Short Course: Efficiently Serving LLMs from DeepLearning.ai | 67 | 2024-03-18T20:34:40 | https://x.com/AndrewYNg/status/1769761666143814122?s=20 | SiliconSynapsed | x.com | 1970-01-01T00:00:00 | 0 | {} | 1bi1585 | false | null | t3_1bi1585 | /r/LocalLLaMA/comments/1bi1585/new_short_course_efficiently_serving_llms_from/ | false | false | 67 | {'enabled': False, 'images': [{'id': 'z112mpbZam3S4-wwe6Ke-2rLJrlvSrLpJUjlbTOnxIw', 'resolutions': [{'height': 60, 'url': 'https://external-preview.redd.it/pqJYzBB-7bg6t-awbVXtYjfU6TDPAA9I925rePlP9VM.jpg?width=108&crop=smart&auto=webp&s=bed8504d41ed222e1492e2b268b22322619b5a53', 'width': 108}, {'height': 121, 'url': 'h... | ||
From the NVIDIA GTC, Nvidia Blackwell, well crap | 560 | 2024-03-18T20:31:45 | Gr33nLight | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bi12n9 | false | null | t3_1bi12n9 | /r/LocalLLaMA/comments/1bi12n9/from_the_nvidia_gtc_nvidia_blackwell_well_crap/ | false | false | 560 | {'enabled': True, 'images': [{'id': 'G-kWyDHK6Qffw438P1F_aQ5_f_lfV5aAvERfbpiLFpU', 'resolutions': [{'height': 75, 'url': 'https://preview.redd.it/evf8juzlk5pc1.png?width=108&crop=smart&auto=webp&s=f11d310da10f1849402fc166476322efee65a281', 'width': 108}, {'height': 151, 'url': 'https://preview.redd.it/evf8juzlk5pc1.png... | |||
NESO P1 + Dual 3090 = Perfect Airflow | 5 | 2024-03-18T20:20:19 | https://www.reddit.com/gallery/1bi0s0r | N9_m | reddit.com | 1970-01-01T00:00:00 | 0 | {} | 1bi0s0r | false | null | t3_1bi0s0r | /r/LocalLLaMA/comments/1bi0s0r/neso_p1_dual_3090_perfect_airflow/ | false | false | 5 | null | ||
What are best LLM API providers? Fastest and Cheapest. | 1 | [removed] | 2024-03-18T20:11:31 | https://www.reddit.com/r/LocalLLaMA/comments/1bi0k2o/what_are_best_llm_api_providers_fastest_and/ | lloe203 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi0k2o | false | null | t3_1bi0k2o | /r/LocalLLaMA/comments/1bi0k2o/what_are_best_llm_api_providers_fastest_and/ | false | false | self | 1 | null |
RAG with function calling using Hermes 2 Pro | 1 | [removed] | 2024-03-18T19:57:52 | https://www.reddit.com/r/LocalLLaMA/comments/1bi07gd/rag_with_function_calling_using_hermes_2_pro/ | ashpreetbedi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi07gd | false | null | t3_1bi07gd | /r/LocalLLaMA/comments/1bi07gd/rag_with_function_calling_using_hermes_2_pro/ | false | false | self | 1 | null |
RAG with function calling using Hermes 2 Pro | 1 | [removed] | 2024-03-18T19:55:05 | https://www.reddit.com/r/LocalLLaMA/comments/1bi04vf/rag_with_function_calling_using_hermes_2_pro/ | ashpreetbedi | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bi04vf | false | null | t3_1bi04vf | /r/LocalLLaMA/comments/1bi04vf/rag_with_function_calling_using_hermes_2_pro/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'OEWBCD4wJRFMo6_upZA1MB6sAdwnkI_fZEqqkmQ3y4E', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/GLSZge7iL1dLlwS5Sc5IiLyX1KQuVEdX1IoPI-w_zmY.jpg?width=108&crop=smart&auto=webp&s=ff4c5ec587a7275397e37c4cc08a50cc498a7baf', 'width': 108}, {'height': 108, 'url': 'h... | |
Simplified Function Calling (LiteLLM/OpenAI Compatible) [Python] | 6 | I've created a simple wrapper for JSON function descriptions when using either LiteLLM or OpenAI APIs. Local models are supported on LiteLLM as well.
I really like tools like Langroid and Langchain, but sometimes the abstraction they implement takes away too much control. As such, this package is solely for making fun... | 2024-03-18T19:46:14 | https://www.reddit.com/r/LocalLLaMA/comments/1bhzwwb/simplified_function_calling_litellmopenai/ | AlwaysMakinDough | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhzwwb | false | null | t3_1bhzwwb | /r/LocalLLaMA/comments/1bhzwwb/simplified_function_calling_litellmopenai/ | false | false | 6 | {'enabled': False, 'images': [{'id': 'o2kLR1pytewGnTl0mjppjGZIFM4sOreQf0YbzeGA7V4', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/6hZBV3H7QEMhEM3lPpb0dSw2iuQcgDY7mEPLcVlf3_k.jpg?width=108&crop=smart&auto=webp&s=ce38eba4c3dfbd6b11d1c4a3942c7c67d74fc931', 'width': 108}, {'height': 108, 'url': 'h... | |
Fine-tuning model for new language, translation task | 1 | [removed] | 2024-03-18T19:33:04 | https://www.reddit.com/r/LocalLLaMA/comments/1bhzkzw/finetuning_model_for_new_language_translation_task/ | IzzyHibbert | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhzkzw | false | null | t3_1bhzkzw | /r/LocalLLaMA/comments/1bhzkzw/finetuning_model_for_new_language_translation_task/ | false | false | self | 1 | null |
Mistral-7B very slow when using transformers | 1 | [removed] | 2024-03-18T19:29:52 | https://www.reddit.com/r/LocalLLaMA/comments/1bhzhxj/mistral7b_very_slow_when_using_transformers/ | nilonoob3001 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhzhxj | false | null | t3_1bhzhxj | /r/LocalLLaMA/comments/1bhzhxj/mistral7b_very_slow_when_using_transformers/ | false | false | self | 1 | null |
open source RAG observability in llama index with 2 lines of code | 16 | 2024-03-18T19:15:32 | https://www.llamaindex.ai/blog/one-click-open-source-rag-observability-with-langfuse | Traditional_Swan_326 | llamaindex.ai | 1970-01-01T00:00:00 | 0 | {} | 1bhz4s6 | false | null | t3_1bhz4s6 | /r/LocalLLaMA/comments/1bhz4s6/open_source_rag_observability_in_llama_index_with/ | false | false | 16 | {'enabled': False, 'images': [{'id': 's5shR8Emf5VxNGB504LOte9Blo6ewAMRqw67cNSKh90', 'resolutions': [{'height': 71, 'url': 'https://external-preview.redd.it/mLUx7yAi7SG08OqS3rVslGzmwIJ2rF7GxEfNUdt7H5g.jpg?width=108&crop=smart&auto=webp&s=97465181fa1a4adeb5d8524f08784f6520f5f5a0', 'width': 108}, {'height': 142, 'url': 'h... | ||
Truely open source instruct fine tuning manual or information. | 3 | I need a manual or more information on how the better models are fine tuning to be able to behave in multiple ways.
At the moment, I just finetune question answer pairs, but what If I want to tune for one shot or few-shot instruct tuning with system/user/assistant style behaviour? There must be information on this top... | 2024-03-18T18:57:38 | https://www.reddit.com/r/LocalLLaMA/comments/1bhyoey/truely_open_source_instruct_fine_tuning_manual_or/ | HotRepresentative325 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhyoey | false | null | t3_1bhyoey | /r/LocalLLaMA/comments/1bhyoey/truely_open_source_instruct_fine_tuning_manual_or/ | false | false | self | 3 | null |
Having difficulties choosing: RTX 3090 vs RTX 4090 (both new) and a bonus question about SLI | 6 | Hey. I know this has been discussed before, but perhaps not recently, and I am still not sure after looking at existing older threads...
My current spec is Ryzen 5900X, 32GB 3600cl16 RAM, RTX 3070. It's a gaming PC, but I chose this CPU and a 1000W supply with the idea of eventually upgrading the GPU.
Just now, I fou... | 2024-03-18T18:04:09 | https://www.reddit.com/r/LocalLLaMA/comments/1bhxc8w/having_difficulties_choosing_rtx_3090_vs_rtx_4090/ | weedcommander | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhxc8w | false | null | t3_1bhxc8w | /r/LocalLLaMA/comments/1bhxc8w/having_difficulties_choosing_rtx_3090_vs_rtx_4090/ | false | false | self | 6 | null |
GGUF file visualization on Hugging Face | 122 | You can now quickly inspect GGUF files on the HF Hub. See their metadata & tensors info directly from model pages (similar to what we were already doing for safetensors)
for instance check [https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF](https://huggingface.co/TheBloke/Mixtral-8x7B-v0.1-GGUF)
​
https:... | 2024-03-18T17:42:19 | https://www.reddit.com/r/LocalLLaMA/comments/1bhwsbh/gguf_file_visualization_on_hugging_face/ | julien_c | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhwsbh | false | null | t3_1bhwsbh | /r/LocalLLaMA/comments/1bhwsbh/gguf_file_visualization_on_hugging_face/ | false | false | 122 | null | |
Dive Deeper into Yi-9B [technical post] | 45 | Super nice and detailed post about how Yi 9B was created (the merging approach) [https://huggingface.co/blog/lorinma/yi-9b-divedeep](https://huggingface.co/blog/lorinma/yi-9b-divedeep)
It includes a comparison of two different depth expansion approaches -- the one used by the released Yi 9B and the Solar one. | 2024-03-18T17:40:09 | https://www.reddit.com/r/LocalLLaMA/comments/1bhwqbb/dive_deeper_into_yi9b_technical_post/ | DreamGenAI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhwqbb | false | null | t3_1bhwqbb | /r/LocalLLaMA/comments/1bhwqbb/dive_deeper_into_yi9b_technical_post/ | false | false | self | 45 | {'enabled': False, 'images': [{'id': '9Y8cCiN9MGCnpUVLLfOcHR2YKAhKsN_R1hlR5VtiPYA', 'resolutions': [{'height': 58, 'url': 'https://external-preview.redd.it/5KbXqaZaWIyZ8-LjA9AaJe-ZOLdoAOCRPM852-xn4uY.jpg?width=108&crop=smart&auto=webp&s=233b5cd1101e1a9273f455941bf9f50dfa9492a3', 'width': 108}, {'height': 116, 'url': 'h... |
Small Open-Source models that Multi-modal and support Function Calling? | 1 | I know this seems a bit hopeful, but I am looking for a relatively small model (<9b parameters) that can take images as inputs as well as support function calls. Additionally, it would be even better if it had a simple architecture / be easy to fine-tune! | 2024-03-18T17:38:26 | https://www.reddit.com/r/LocalLLaMA/comments/1bhwotp/small_opensource_models_that_multimodal_and/ | joesteen2135 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhwotp | false | null | t3_1bhwotp | /r/LocalLLaMA/comments/1bhwotp/small_opensource_models_that_multimodal_and/ | false | false | self | 1 | null |
Grok is out open source Apache licence! | 1 | I m curious, how many A100 80G VRAM do you think are needed in order to do inference and fine tuning of this MOE model of 314G parameters? | 2024-03-18T17:36:25 | https://www.reddit.com/r/LocalLLaMA/comments/1bhwn62/grok_is_out_open_source_apache_licence/ | Smart-Substance8449 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhwn62 | false | null | t3_1bhwn62 | /r/LocalLLaMA/comments/1bhwn62/grok_is_out_open_source_apache_licence/ | false | false | self | 1 | null |
Unused cloud credits to train open source models | 1 | [removed] | 2024-03-18T17:34:38 | https://www.reddit.com/r/LocalLLaMA/comments/1bhwlm1/unused_cloud_credits_to_train_open_source_models/ | Humble-Bag2946 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhwlm1 | false | null | t3_1bhwlm1 | /r/LocalLLaMA/comments/1bhwlm1/unused_cloud_credits_to_train_open_source_models/ | false | false | self | 1 | null |
Recognizing novelty in additional data for RAG | 7 | I'm looking at the problem of detecting whether some new piece of data holds new knowledge in the context of existing database.
'General' scenario looks like this:
1. You have a RAG system
2. New, possibly relevant, data is introduced
3. You have to decide whether to chunk and feed it into the system
If you just add... | 2024-03-18T17:27:28 | https://www.reddit.com/r/LocalLLaMA/comments/1bhwf1o/recognizing_novelty_in_additional_data_for_rag/ | teleoflexuous | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhwf1o | false | null | t3_1bhwf1o | /r/LocalLLaMA/comments/1bhwf1o/recognizing_novelty_in_additional_data_for_rag/ | false | false | self | 7 | null |
Repetitition penalty issues on Aphrodite Engine | 1 | Hello, I'm running a model using Aphrodite engine and I put the message history in prompt. But repetition penality seems to be totally ignored for input prompt on Aphrodite. I keep having issues with the model repeating previous messages. But this isn't the case when I run the model on textgen webui.
Any advice? | 2024-03-18T17:23:43 | https://www.reddit.com/r/LocalLLaMA/comments/1bhwbpr/repetitition_penalty_issues_on_aphrodite_engine/ | ll_Teto_ll | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhwbpr | false | null | t3_1bhwbpr | /r/LocalLLaMA/comments/1bhwbpr/repetitition_penalty_issues_on_aphrodite_engine/ | false | false | self | 1 | null |
"AI problems: patterns and the danger of synthetic information" - can someone possibly check my simple thoughts? | 1 | hi,
can someone possibly check my simple thoughts?
AI problems: Patterns and the danger of synthetic information that is influenced by hallucinations and/or bias, which then becomes self-replicating and possibly influences other derived AI models.
A major problem I see, is that the approach to assign a higher lev... | 2024-03-18T17:05:07 | https://www.reddit.com/r/LocalLLaMA/comments/1bhvv6k/ai_problems_patterns_and_the_danger_of_synthetic/ | tcp_fin | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhvv6k | false | null | t3_1bhvv6k | /r/LocalLLaMA/comments/1bhvv6k/ai_problems_patterns_and_the_danger_of_synthetic/ | false | false | self | 1 | null |
LocalLLM vs ChatGPT 3.5 for roleplay | 1 | Hi! I have a question about using LLMs for roleplay, specifically multiturn roleplay. In this scenario, I write actions for my characters, and the LLM takes on the role of another character or the Dungeon Master (DM).
It seems that ChatGPT 3.5 does this perfectly: it only plays from the perspective of the character i... | 2024-03-18T16:59:44 | https://www.reddit.com/r/LocalLLaMA/comments/1bhvq0u/localllm_vs_chatgpt_35_for_roleplay/ | uti24 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhvq0u | false | null | t3_1bhvq0u | /r/LocalLLaMA/comments/1bhvq0u/localllm_vs_chatgpt_35_for_roleplay/ | false | false | self | 1 | null |
Is there a benchmark to test how uncensored a model is? | 35 | Is there be a standard set of categories (drugs, sex, racism, etc.) covering LLM's censorship level? I want to evaluate how uncensored a given LLM is, whether it is equally uncensored on all categories or are there categories where it is less uncensored than in certain others, etc. | 2024-03-18T16:54:44 | https://www.reddit.com/r/LocalLLaMA/comments/1bhvlo2/is_there_a_benchmark_to_test_how_uncensored_a/ | ResearcherNo4728 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhvlo2 | false | null | t3_1bhvlo2 | /r/LocalLLaMA/comments/1bhvlo2/is_there_a_benchmark_to_test_how_uncensored_a/ | false | false | self | 35 | null |
i need help getting started | 1 | let me premise this by saying i know near nothing about ai or anything in this field but i am looking to learn. I started off trying ollama and was able to get some models running like solar and llama 2 7b. I want to train an ai but i dont know what hardware i need. I currently have a homelab with 2 gpu servers. 1 of t... | 2024-03-18T16:44:58 | https://www.reddit.com/r/LocalLLaMA/comments/1bhvcx3/i_need_help_getting_started/ | Which_Bug_8234 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhvcx3 | false | null | t3_1bhvcx3 | /r/LocalLLaMA/comments/1bhvcx3/i_need_help_getting_started/ | false | false | self | 1 | null |
Is there a benchmark to test how uncensored a model is? | 1 | Is there be a standard set of categories (drugs, sex, racism, etc.) covering LLM's censorship level? I want to evaluate how uncensored a given LLM is, whether it is equally uncensored on all categories or are there categories where it is less uncensored than in certain others, etc.
Also, for any given LLM that we know... | 2024-03-18T16:24:51 | https://www.reddit.com/r/LocalLLaMA/comments/1bhuv18/is_there_a_benchmark_to_test_how_uncensored_a/ | ResearcherNo4728 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhuv18 | false | null | t3_1bhuv18 | /r/LocalLLaMA/comments/1bhuv18/is_there_a_benchmark_to_test_how_uncensored_a/ | false | false | self | 1 | null |
Apple Publishes Details About New 'MM1' AI Model | 54 | 2024-03-18T16:21:30 | https://arxiv.org/abs/2403.09611 | RenoHadreas | arxiv.org | 1970-01-01T00:00:00 | 0 | {} | 1bhus50 | false | null | t3_1bhus50 | /r/LocalLLaMA/comments/1bhus50/apple_publishes_details_about_new_mm1_ai_model/ | false | false | default | 54 | null | |
Llama Spits Out Best Real Estate Deals | 1 | **Background**: Building a tool to replace real estate agents with AI + attorney review. Goal is to make home buying more affordable (plus \*most\* agents suck as humans and don't actually care). There is a document automation process, but I need help with the AI/chat side. LocalLlama has been the most helpful sub so f... | 2024-03-18T16:10:43 | https://www.reddit.com/r/LocalLLaMA/comments/1bhuijj/llama_spits_out_best_real_estate_deals/ | RealAgentAI | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhuijj | false | null | t3_1bhuijj | /r/LocalLLaMA/comments/1bhuijj/llama_spits_out_best_real_estate_deals/ | false | false | self | 1 | null |
Need help exploring Cost-Efficient LLM Solutions: Balancing Performance, Budget, and Compliance | 4 | Hello, we're currently developing a project heavily reliant on AI and large language models (LLMs). Our primary tool is ChatGPT APIs, leveraging GPT-4 as the primary LLM. However, the cost associated with GPT-4 is quite high, particularly considering our need for bulk batch operations, which could potentially lead to e... | 2024-03-18T16:01:24 | https://www.reddit.com/r/LocalLLaMA/comments/1bhua78/need_help_exploring_costefficient_llm_solutions/ | TheImperialTrooper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhua78 | false | null | t3_1bhua78 | /r/LocalLLaMA/comments/1bhua78/need_help_exploring_costefficient_llm_solutions/ | false | false | self | 4 | null |
(3/18)Lex Fridman - Sam Altman | 1 | 2024-03-18T15:14:20 | https://www.youtube.com/watch?v=jvqFAi7vkBc | designhelp123 | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1bht5tk | false | {'oembed': {'author_name': 'Lex Fridman', 'author_url': 'https://www.youtube.com/@lexfridman', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/jvqFAi7vkBc?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope... | t3_1bht5tk | /r/LocalLLaMA/comments/1bht5tk/318lex_fridman_sam_altman/ | false | false | 1 | {'enabled': False, 'images': [{'id': 'n6wgwufx3FkEi7-b0nw5b9uB8TeO0Qi8UpvX10e3JH0', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/-QGTa0-SFjcDJWDjA2_3fb7avvmiNjASJ-h5Dv4KHh8.jpg?width=108&crop=smart&auto=webp&s=4230bcdb5072094583a35b6bdd012849403ad451', 'width': 108}, {'height': 162, 'url': 'h... | ||
How much data is transferred across the PCIE bus during inference for multi-GPU | 10 | When you have a model loaded into VRAM, conceptually, you are pushing tokens in and getting tokens out and so your inferencing speed is likely to be bottlenecked by GPU performance rather than PCIE transfer.
However, when you split your model across 2 GPUs, you then when the last layer is done on GPU #1, you need to t... | 2024-03-18T15:00:11 | https://www.reddit.com/r/LocalLLaMA/comments/1bhstjq/how_much_data_is_transferred_across_the_pcie_bus/ | DeltaSqueezer | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhstjq | false | null | t3_1bhstjq | /r/LocalLLaMA/comments/1bhstjq/how_much_data_is_transferred_across_the_pcie_bus/ | false | false | self | 10 | null |
Grok is way too massive to run—What did this solve? | 1 | [removed] | 2024-03-18T14:38:41 | https://www.reddit.com/r/LocalLLaMA/comments/1bhsb06/grok_is_way_too_massive_to_runwhat_did_this_solve/ | holamyeung | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhsb06 | false | null | t3_1bhsb06 | /r/LocalLLaMA/comments/1bhsb06/grok_is_way_too_massive_to_runwhat_did_this_solve/ | false | false | self | 1 | null |
How much RAM? | 2 | Hello all, maybe a stupid question..
I have a database of about 2.3 million files, mostly pdf and some videos. After vectorisation I estimate towards (grossly) 100Go of a vector space.
My Llm context is 32k tokens. Does my RAG data influence the RAM I need?
Thanks a lot! | 2024-03-18T14:31:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bhs5il/how_much_ram/ | Beautiful-Service-52 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhs5il | false | null | t3_1bhs5il | /r/LocalLLaMA/comments/1bhs5il/how_much_ram/ | false | false | self | 2 | null |
Who’s building open source FigureAI? | 1 | [removed] | 2024-03-18T14:24:59 | https://www.reddit.com/r/LocalLLaMA/comments/1bhrzkh/whos_building_open_source_figureai/ | cstein123 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhrzkh | false | null | t3_1bhrzkh | /r/LocalLLaMA/comments/1bhrzkh/whos_building_open_source_figureai/ | false | false | default | 1 | null |
Where is the IBM publication optimisation ? | 5 | Hey everyone,
a couple weeks ago I was seeing buzz around an interesting paper about optimizing VRAM usage that seemed to yield extreme performance improvements without losing accuracy (or not much). Has it gone anywhere ? I was hoping to run bigger models with it on my 8GB of VRAM !
​
I hope it's not dead i... | 2024-03-18T14:21:25 | https://www.reddit.com/r/LocalLLaMA/comments/1bhrwkm/where_is_the_ibm_publication_optimisation/ | BraceletGrolf | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhrwkm | false | null | t3_1bhrwkm | /r/LocalLLaMA/comments/1bhrwkm/where_is_the_ibm_publication_optimisation/ | false | false | self | 5 | null |
Best larger models | 19 | Hi all, I have been working with LLMs for the past few months and have never really used anything above 7B parameters as the only access to GPU I had came from Kaggle. I now have access to a cluster of 8 A100 40GB GPUs, and was wondering which models you guys recommend using that have parameter counts significantly lar... | 2024-03-18T14:19:51 | https://www.reddit.com/r/LocalLLaMA/comments/1bhrv80/best_larger_models/ | lochloch | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhrv80 | false | null | t3_1bhrv80 | /r/LocalLLaMA/comments/1bhrv80/best_larger_models/ | false | false | self | 19 | null |
Sparse mixture of experts language model from scratch | 27 | I know this has been posted before but I made my simple from-scratch implementation of a sparse Mixture of Experts Language model more complete with expert capacity. Expert capacity is a mechanism to ensure more stable and efficient training so that the 'expert' networks (typically vanilla feed forward neural nets in m... | 2024-03-18T14:16:26 | https://www.reddit.com/r/LocalLLaMA/comments/1bhrsi3/sparse_mixture_of_experts_language_model_from/ | avi1x | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhrsi3 | false | null | t3_1bhrsi3 | /r/LocalLLaMA/comments/1bhrsi3/sparse_mixture_of_experts_language_model_from/ | false | false | self | 27 | null |
Data structuring from PDF to QnA using LLM | 1 | [removed] | 2024-03-18T13:31:59 | https://www.reddit.com/r/LocalLLaMA/comments/1bhqsym/data_structuring_from_pdf_to_qna_using_llm/ | Medium_Alternative50 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhqsym | false | null | t3_1bhqsym | /r/LocalLLaMA/comments/1bhqsym/data_structuring_from_pdf_to_qna_using_llm/ | false | false | default | 1 | {'enabled': False, 'images': [{'id': 'UaW090vbWKsuGEBeEQ5zksrl2gy7ygk3iN3k7NcjNRo', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/ztQYRoRGKKyq57ZLLso7SHtRz1gRLcvnVXBjLQyMT_0.jpg?width=108&crop=smart&auto=webp&s=353ec1681db3b42f1c29425ca1328b414b3456f2', 'width': 108}, {'height': 162, 'url': 'h... |
Which format and precision best utilizes the capabilities of 4090? | 6 | Assuming you have a single 4090 without overflow to CPU and in the second case you have multiple 4090, so all VRAM option. Which quantized or unquantized model format would you choose and at what precision fp32, fp16, bf16, etc would you run the model? | 2024-03-18T13:17:54 | https://www.reddit.com/r/LocalLLaMA/comments/1bhqi9d/which_format_and_precision_best_utilizes_the/ | rsinghal2000 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhqi9d | false | null | t3_1bhqi9d | /r/LocalLLaMA/comments/1bhqi9d/which_format_and_precision_best_utilizes_the/ | false | false | self | 6 | null |
How LLMs helped me with real life mental issues. | 1 | [removed] | 2024-03-18T12:59:50 | https://www.reddit.com/r/LocalLLaMA/comments/1bhq4jv/how_llms_helped_me_with_real_life_mental_issues/ | FoldNo9176 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhq4jv | false | null | t3_1bhq4jv | /r/LocalLLaMA/comments/1bhq4jv/how_llms_helped_me_with_real_life_mental_issues/ | false | false | self | 1 | null |
Is Apple so far behind to be desperate for Google's help? | 7 | 2024-03-18T12:40:41 | https://www.youtube.com/watch?v=WHrfw9e0pbk&ab_channel=Reuters | EnvironmentalBee4497 | youtube.com | 1970-01-01T00:00:00 | 0 | {} | 1bhpraj | false | {'oembed': {'author_name': 'Reuters', 'author_url': 'https://www.youtube.com/@Reuters', 'height': 200, 'html': '<iframe width="356" height="200" src="https://www.youtube.com/embed/WHrfw9e0pbk?feature=oembed&enablejsapi=1" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; pictu... | t3_1bhpraj | /r/LocalLLaMA/comments/1bhpraj/is_apple_so_far_behind_to_be_desperate_for/ | false | false | 7 | {'enabled': False, 'images': [{'id': 'B-Lvh2wKT8AS3sVtoJQJR_1av74pbQnM6B-hoBqfLPA', 'resolutions': [{'height': 81, 'url': 'https://external-preview.redd.it/Xi89wywaLnueDh3vIto1IJ4pH72VG20Zb81lrn6G7nw.jpg?width=108&crop=smart&auto=webp&s=86e3fd434643436a5d8cc0e1fc10684efca4c2e1', 'width': 108}, {'height': 162, 'url': 'h... | ||
What Investors want to Hear | 554 | 2024-03-18T12:18:59 | enspiralart | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bhpc8s | false | null | t3_1bhpc8s | /r/LocalLLaMA/comments/1bhpc8s/what_investors_want_to_hear/ | false | false | 554 | {'enabled': True, 'images': [{'id': 'Lg7queVN3UV4fhdOP2rFDVY_g3o1GWrBCG21xb3FfC4', 'resolutions': [{'height': 109, 'url': 'https://preview.redd.it/0wictqik43pc1.jpeg?width=108&crop=smart&auto=webp&s=80e40967109a492cb623605975f9ad25a8e0616c', 'width': 108}, {'height': 218, 'url': 'https://preview.redd.it/0wictqik43pc1.j... | |||
Text summarization of technical reports more than 30 pages | 2 |
Greetings, i am trying to find whats the best way to tackle this problem.
Dont know if i should start with local LLMs (models from hugging face etc), or go with text summarization APIs which i think will have limitations due to the text technicalities and size. Or finally go with the big boys gpt-4,claudie etc.
I ... | 2024-03-18T11:41:05 | https://www.reddit.com/r/LocalLLaMA/comments/1bhondc/text_summarization_of_technical_reports_more_than/ | SneakyZi0 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhondc | false | null | t3_1bhondc | /r/LocalLLaMA/comments/1bhondc/text_summarization_of_technical_reports_more_than/ | false | false | self | 2 | null |
GGUF and ctransformers | 1 | Hey everyone,
I wanna experiment with the quantized codeLlama and I tried using ctransformers to load the model in GGUF format, I have used the following code :
from ctransformers import AutoModelForCausalLM
llm = AutoModelForCausalLM.from_pretrained("TheBloke/CodeLlama-7B-GGUF", variant="codellama-7b.Q4... | 2024-03-18T11:25:58 | https://www.reddit.com/r/LocalLLaMA/comments/1bhoe6k/gguf_and_ctransformers/ | orange_carrot1717 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhoe6k | false | null | t3_1bhoe6k | /r/LocalLLaMA/comments/1bhoe6k/gguf_and_ctransformers/ | false | false | self | 1 | null |
Is it better to train with a text corpus (and then retrain with a chat / RP dataset)? | 4 | I'm asking since I've got tons of stories I'd like to incorporate into my model.
I tried training with it in chat format, like Paragraph A --> Paragraph B, but it feels wrong? Especially if I want to introduce new vocabulary, concepts, phrasings.
If I train it without a format, will my model lose its RP-ability? Wil... | 2024-03-18T11:12:01 | https://www.reddit.com/r/LocalLLaMA/comments/1bho5x8/is_it_better_to_train_with_a_text_corpus_and_then/ | VicboyV | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bho5x8 | false | null | t3_1bho5x8 | /r/LocalLLaMA/comments/1bho5x8/is_it_better_to_train_with_a_text_corpus_and_then/ | false | false | self | 4 | null |
Seeking Advice on Integrating AI for Healthcare Logistics Application Monitoring | 1 | Greetings,
I'm currently pursuing my master's in software engineering and interning at a healthcare logistics company. My project involves integrating AI, particularly an LLM, with the monitoring system of our company's primary product—an essential Windows application used by hospitals for logistics management.
The... | 2024-03-18T11:04:34 | https://www.reddit.com/r/LocalLLaMA/comments/1bho1o7/seeking_advice_on_integrating_ai_for_healthcare/ | nogrob | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bho1o7 | false | null | t3_1bho1o7 | /r/LocalLLaMA/comments/1bho1o7/seeking_advice_on_integrating_ai_for_healthcare/ | false | false | self | 1 | null |
Portable Llm build | 1 | [removed] | 2024-03-18T10:23:23 | https://www.reddit.com/r/LocalLLaMA/comments/1bhne6d/portable_llm_build/ | AdventurousSwim1312 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhne6d | false | null | t3_1bhne6d | /r/LocalLLaMA/comments/1bhne6d/portable_llm_build/ | false | false | self | 1 | null |
Local Text to Music | 13 | I recently came across Suno AI. It's very impressive compared to previous models like MusicLM by Google.
That got wondering if there are any alternatives that I can run locally. I'm not looking for something on the same level as Suno, just that can generate coherent audio.
Thanks for your help! | 2024-03-18T10:02:23 | https://www.reddit.com/r/LocalLLaMA/comments/1bhn29s/local_text_to_music/ | isr_431 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhn29s | false | null | t3_1bhn29s | /r/LocalLLaMA/comments/1bhn29s/local_text_to_music/ | false | false | self | 13 | null |
Apply RAG on an already finetuned Llama Based Model | 6 | I am trying RAG for the first time and saw tons of tutorials using Llamaindex and Langchain to apply RAG on LLM's directly downloaded from HuggingFace.
In my case I have a finetuned model from Llama, which I happen to have the finetuned weights stored locally in .bin format (pytorch\_model\_00001\_of\_00003 ...)
What... | 2024-03-18T09:38:22 | https://www.reddit.com/r/LocalLLaMA/comments/1bhmpm1/apply_rag_on_an_already_finetuned_llama_based/ | Rz_1010 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhmpm1 | false | null | t3_1bhmpm1 | /r/LocalLLaMA/comments/1bhmpm1/apply_rag_on_an_already_finetuned_llama_based/ | false | false | self | 6 | null |
Model loading LLama2 70b, out of memory (3 x 3090) | 1 | [removed] | 2024-03-18T09:30:20 | https://www.reddit.com/r/LocalLLaMA/comments/1bhmlnd/model_loading_llama2_70b_out_of_memory_3_x_3090/ | Business_Stress_3306 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhmlnd | false | null | t3_1bhmlnd | /r/LocalLLaMA/comments/1bhmlnd/model_loading_llama2_70b_out_of_memory_3_x_3090/ | false | false | self | 1 | null |
What's the purpose of avoiding using OpenAI's models if you're using platforms like Anyscale/Deepinfra? | 31 | The main idea behind using open source llms in production is privacy, however price of hosting llms are much higher than gpt pricing, so seems like people use platforms like Anyscale which does have really good pricing:
>Mixtral-8x7B-Instruct-v0.1 0.50$/1m tokens
Fine tuned Mixtral-8x7B-Instruct-v0.1 1$/1m tokens
T... | 2024-03-18T09:27:32 | https://www.reddit.com/r/LocalLLaMA/comments/1bhmkc9/whats_the_purpose_of_avoiding_using_openais/ | mefistofeli | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhmkc9 | false | null | t3_1bhmkc9 | /r/LocalLLaMA/comments/1bhmkc9/whats_the_purpose_of_avoiding_using_openais/ | false | false | self | 31 | null |
RTX 4090 vs RTX 4500 ADA for local LLM training | 5 | I'm considering purchasing a more powerful machine to work with LLMs locally. During my research, I came across the RTX 4500 ADA, priced at approximately £2,519, featuring 24GB of vRAM and 7680 CUDA cores. In contrast, the flagship RTX 4090, also based on the ADA architecture, is priced at £1,763, with 24GB of vRAM and... | 2024-03-18T09:19:14 | https://www.reddit.com/r/LocalLLaMA/comments/1bhmg54/rtx_4090_vs_rtx_4500_ada_for_local_llm_training/ | houmie | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhmg54 | false | null | t3_1bhmg54 | /r/LocalLLaMA/comments/1bhmg54/rtx_4090_vs_rtx_4500_ada_for_local_llm_training/ | false | false | self | 5 | null |
my mom died.... i could use a little image to image LLM help | 1 | this is a serious ask for help i know how to use a LLM but do to the nature i dont think i can handle doing it do to the emotional nature.... i tried and it gave me something creepy ugly or just bad inference idk i cant handle it but i think i really need it for the healing of my family .....and for me .....my mother d... | 2024-03-18T08:42:10 | https://www.reddit.com/r/LocalLLaMA/comments/1bhlyai/my_mom_died_i_could_use_a_little_image_to_image/ | SnooCupcakes4720 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhlyai | false | null | t3_1bhlyai | /r/LocalLLaMA/comments/1bhlyai/my_mom_died_i_could_use_a_little_image_to_image/ | false | false | 1 | null | |
Could Elon releasing Grok impact the amount of AI generated misinformation the coming elections? | 1 | Is Grok suitable for generating and spreading misinformation? Could it be made significantly better at this than current "uncensored" alternatives? | 2024-03-18T08:34:30 | https://www.reddit.com/r/LocalLLaMA/comments/1bhlunw/could_elon_releasing_grok_impact_the_amount_of_ai/ | stygger | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhlunw | false | null | t3_1bhlunw | /r/LocalLLaMA/comments/1bhlunw/could_elon_releasing_grok_impact_the_amount_of_ai/ | false | false | self | 1 | null |
Open source models for production grade application | 1 | For people who are building production grade enterprise applications with requirements for code generation and function calling, what open source models do you use and which open source models perform better.
I'm currently experimenting for 7B parameter models like mistral7B or openhermesv2.5 but function calling is ... | 2024-03-18T08:23:21 | https://www.reddit.com/r/LocalLLaMA/comments/1bhlpi8/open_source_models_for_production_grade/ | MasterDragon_ | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhlpi8 | false | null | t3_1bhlpi8 | /r/LocalLLaMA/comments/1bhlpi8/open_source_models_for_production_grade/ | false | false | self | 1 | null |
Question about Replicate and back and forth chatting. | 1 | [removed] | 2024-03-18T08:18:39 | https://www.reddit.com/r/LocalLLaMA/comments/1bhlnek/question_about_replicate_and_back_and_forth/ | Big_PP_Rater | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhlnek | false | null | t3_1bhlnek | /r/LocalLLaMA/comments/1bhlnek/question_about_replicate_and_back_and_forth/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': '72O6Lv63GZ74OXkgL51i_S8pK45BfPwQb88yD4wi4E0', 'resolutions': [{'height': 56, 'url': 'https://external-preview.redd.it/iS3QptOYtuqEPhdCrFv9Yzp2AdqQpbV9bInobsWhRqg.jpg?width=108&crop=smart&auto=webp&s=da860b133f325e7a2da3411b07ff191a9c970d2b', 'width': 108}, {'height': 113, 'url': 'h... |
The best uncensored LLaMA 2 7B model with good knowledge? | 1 | Hi guys. I’m looking for a model to fine-tune. Do you have any ideas of the extremely high intelligence model with good reason and also uncensored?
I’ve tried:
- Nous-Hermes-llama-2-7b
- Pygmalion-2-7b
But I am not sure if those are good (based on the benchmarks) 😞
Note: I’m looking exclusively for LLaMA 2 in 7B p... | 2024-03-18T08:15:46 | https://www.reddit.com/r/LocalLLaMA/comments/1bhlm1o/the_best_uncensored_llama_2_7b_model_with_good/ | yukiarimo | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhlm1o | false | null | t3_1bhlm1o | /r/LocalLLaMA/comments/1bhlm1o/the_best_uncensored_llama_2_7b_model_with_good/ | false | false | self | 1 | null |
Raising 64 GPUs to instruction and RL fine-tune Grok-1 | 160 | 2024-03-18T07:24:39 | imonenext | i.redd.it | 1970-01-01T00:00:00 | 0 | {} | 1bhkxw5 | false | null | t3_1bhkxw5 | /r/LocalLLaMA/comments/1bhkxw5/raising_64_gpus_to_instruction_and_rl_finetune/ | false | false | 160 | {'enabled': True, 'images': [{'id': 'rddgEZhrK0Zd6j7FfnlpK8VdnMn8cnJyslGNMfi5iVI', 'resolutions': [{'height': 86, 'url': 'https://preview.redd.it/xuy20jyrl1pc1.jpeg?width=108&crop=smart&auto=webp&s=b60e270b43c31307cbc43db0ea72338c94d5bd3b', 'width': 108}, {'height': 172, 'url': 'https://preview.redd.it/xuy20jyrl1pc1.jp... | |||
Deploying Mistral Endpoint - Quantization Methods, Hosting Options etc. | 1 | I'm trying to deploy a Mistral 7B api endpoint for a RAG application I'm building. A few major things I'm confused about - I'm GPU poor :( so was planning on using AWS sagemaker to deploy the model - the 2 month free plan has 125 hours of m4.xlarge or m5.xlarge instance per month on Inference - would that be enough to ... | 2024-03-18T07:13:11 | https://www.reddit.com/r/LocalLLaMA/comments/1bhksbn/deploying_mistral_endpoint_quantization_methods/ | Aggravating-Floor-38 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhksbn | false | null | t3_1bhksbn | /r/LocalLLaMA/comments/1bhksbn/deploying_mistral_endpoint_quantization_methods/ | false | false | self | 1 | null |
Grok 1 is here, it is a 314B model | 1 | [removed] | 2024-03-18T06:54:32 | https://www.reddit.com/r/LocalLLaMA/comments/1bhkixq/grok_1_is_here_it_is_a_314b_model/ | Alert-Estimate | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhkixq | false | null | t3_1bhkixq | /r/LocalLLaMA/comments/1bhkixq/grok_1_is_here_it_is_a_314b_model/ | false | false | self | 1 | null |
Best model for text 2 SQL - Suggestions please | 1 | [removed] | 2024-03-18T06:53:19 | https://www.reddit.com/r/LocalLLaMA/comments/1bhkibb/best_model_for_text_2_sql_suggestions_please/ | No-Work-6969 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhkibb | false | null | t3_1bhkibb | /r/LocalLLaMA/comments/1bhkibb/best_model_for_text_2_sql_suggestions_please/ | false | false | self | 1 | null |
Need help exploring Cost-Efficient LLM Solutions: Balancing Performance, Budget, and Compliance | 1 | [removed] | 2024-03-18T06:03:24 | https://www.reddit.com/r/LocalLLaMA/comments/1bhjspe/need_help_exploring_costefficient_llm_solutions/ | TheImperialTrooper | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhjspe | false | null | t3_1bhjspe | /r/LocalLLaMA/comments/1bhjspe/need_help_exploring_costefficient_llm_solutions/ | false | false | self | 1 | null |
How do I make Ollama use my AMD GPU (non-xt 6600)? | 1 | [removed] | 2024-03-18T06:03:15 | https://www.reddit.com/r/LocalLLaMA/comments/1bhjsmj/how_do_i_make_ollama_use_my_amd_gpu_nonxt_6600/ | Gitar101 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhjsmj | false | null | t3_1bhjsmj | /r/LocalLLaMA/comments/1bhjsmj/how_do_i_make_ollama_use_my_amd_gpu_nonxt_6600/ | false | false | self | 1 | null |
Fine tuning workflows | 1 | [removed] | 2024-03-18T05:53:27 | https://www.reddit.com/r/LocalLLaMA/comments/1bhjnbg/fine_tuning_workflows/ | EveryAerie8811 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhjnbg | false | null | t3_1bhjnbg | /r/LocalLLaMA/comments/1bhjnbg/fine_tuning_workflows/ | false | false | self | 1 | null |
Can I use LLaMa past its context window of 2048? | 1 | [removed] | 2024-03-18T05:15:53 | https://www.reddit.com/r/LocalLLaMA/comments/1bhj2it/can_i_use_llama_past_its_context_window_of_2048/ | DoubleAd9650 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhj2it | false | null | t3_1bhj2it | /r/LocalLLaMA/comments/1bhj2it/can_i_use_llama_past_its_context_window_of_2048/ | false | false | default | 1 | null |
Brain hacks techniques: offline local chatbot in your mind, | 1 | Brain hacks techniques: how to make a chatbot in your mind,
Brain hack techniques is an improvement and something surpising/wondrous for your desires, there are many more techniques than the ones listed below, suit your desires, you can comment down below if you have issues or questions or more suggestions of other ... | 2024-03-18T03:30:40 | https://www.reddit.com/r/LocalLLaMA/comments/1bhh788/brain_hacks_techniques_offline_local_chatbot_in/ | headacheack2 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhh788 | false | null | t3_1bhh788 | /r/LocalLLaMA/comments/1bhh788/brain_hacks_techniques_offline_local_chatbot_in/ | false | false | self | 1 | null |
Can I utilize a combination of H100 and A100 GPUs for large-scale model training ? | 8 | I bought 2\*H100 and 2\*100.
2\*H100 is connected with NVLink Bridge, and 2\*A100 is also connected with NVLink Bridge.
Then these 4 GPUs are connected with a PCIE Switch.
​
My question is whether I can use pytorch+nccl to do LLM parallel training? Assuming that the CUDA installed on each host is 11.8 (whi... | 2024-03-18T03:05:09 | https://www.reddit.com/r/LocalLLaMA/comments/1bhgpvd/can_i_utilize_a_combination_of_h100_and_a100_gpus/ | fly2never | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhgpvd | false | null | t3_1bhgpvd | /r/LocalLLaMA/comments/1bhgpvd/can_i_utilize_a_combination_of_h100_and_a100_gpus/ | false | false | self | 8 | null |
an open source model means open its weights? | 1 | [removed] | 2024-03-18T02:53:01 | https://www.reddit.com/r/LocalLLaMA/comments/1bhghig/an_open_source_model_means_open_its_weights/ | CarpenterHopeful2898 | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhghig | false | null | t3_1bhghig | /r/LocalLLaMA/comments/1bhghig/an_open_source_model_means_open_its_weights/ | false | false | self | 1 | null |
{Grok}~~~~~~~~314B Can we use Brain to Power LLMs via Nerves instead of GPU's.....!!!!!!!!! | 1 | Grok-1 is a 314B parameter Mixture of Experts model
​
Base model (not finetuned)
8 experts (2 active)
86B active parameters
Apache 2.0 license
Code: [https://github.com/xai-org/grok-1](https://github.com/xai-org/grok-1)
Happy coding!
​
Weights: [https://academictorrents.com/details/5f96d43576e3d3... | 2024-03-18T02:50:28 | https://www.reddit.com/r/LocalLLaMA/comments/1bhgfqw/grok314b_can_we_use_brain_to_power_llms_via/ | Trysem | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhgfqw | false | null | t3_1bhgfqw | /r/LocalLLaMA/comments/1bhgfqw/grok314b_can_we_use_brain_to_power_llms_via/ | false | false | self | 1 | {'enabled': False, 'images': [{'id': 'nhGGEwPTM7XpH12TBOOAtRwGtpXAu1ZqLhNsf8yqkbw', 'resolutions': [{'height': 54, 'url': 'https://external-preview.redd.it/s5sqKco7T9p20ErT4u6hZKjsf9AQvHzs9B_n7k0xnNA.jpg?width=108&crop=smart&auto=webp&s=073ed86875c6cb47053b55ecde87c93a4e63a3c6', 'width': 108}, {'height': 108, 'url': 'h... |
[llama_index] How to create VectorStoreIndex based on already existing chromadb. | 5 | I am trying to use llama\_index with already existing chromadb. No matter what I have tried, I had no success, in most cases resulting with this error:
chromadb.errors.InvalidDimensionException: Embedding dimension 1536 does not match collection dimensionality 384
I have tried switching the embedding functions... | 2024-03-18T02:26:14 | https://www.reddit.com/r/LocalLLaMA/comments/1bhfyov/llama_index_how_to_create_vectorstoreindex_based/ | thrashmageddon | self.LocalLLaMA | 1970-01-01T00:00:00 | 0 | {} | 1bhfyov | false | null | t3_1bhfyov | /r/LocalLLaMA/comments/1bhfyov/llama_index_how_to_create_vectorstoreindex_based/ | false | false | self | 5 | null |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.