name string | body string | score int64 | controversiality int64 | created timestamp[us] | author string | collapsed bool | edited timestamp[us] | gilded int64 | id string | locked bool | permalink string | stickied bool | ups int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
t1_jiznurq | [deleted] | 1 | 0 | 2023-05-05T17:51:36 | [deleted] | true | null | 0 | jiznurq | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiznurq/ | false | 1 |
t1_jiznpxe | > Can confirm it doesnt scale linearly.
What specifically are you referring to that you're sure confirms that the memory usage isn't linear?
Can you quote what you used to draw that conclusion? It's possible I'm wrong, I basically just skimmed the material but I didn't see anything that talked about memory scaling sp... | 1 | 0 | 2023-05-05T17:50:41 | KerfuffleV2 | false | null | 0 | jiznpxe | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiznpxe/ | false | 1 |
t1_jizngow | > It looks like it needs a full set of 8 80gb A100s to be running inferences with that context length.
What are you basing that on? Just because they said they _used_ 8 80gb A100s doesn't necessarily mean it was required. Also keep in mind they were almost certainly not using a quantized model.
I'm only talking about... | 1 | 0 | 2023-05-05T17:48:58 | KerfuffleV2 | false | null | 0 | jizngow | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizngow/ | false | 1 |
t1_jizn9uc | It depends on a model. Larger models are more capable. | 1 | 0 | 2023-05-05T17:47:42 | Ill_Initiative_8793 | false | null | 0 | jizn9uc | false | /r/LocalLLaMA/comments/1380rx8/longterm_memory/jizn9uc/ | false | 1 |
t1_jizmmyy | The next curious bit I have is what is more effective.
Combine two 7b uncensored models or just add them together.
It's really getting interesting | 2 | 0 | 2023-05-05T17:43:26 | Tom_Neverwinter | false | null | 0 | jizmmyy | false | /r/LocalLLaMA/comments/137upg4/wizardvicuna13b_hugging_face/jizmmyy/ | false | 2 |
t1_jizmjud | I can't find the list of languages, and the link for the bigger list of languages in the base dataset "The Stack" is also dead: https://huggingface.co/datasets/bigcode/the-stack/blob/main/programming-languages.json | 1 | 0 | 2023-05-05T17:42:51 | Caroliano | false | null | 0 | jizmjud | false | /r/LocalLLaMA/comments/138hz01/bigcodestarcoder_programming_model_with_155b/jizmjud/ | false | 1 |
t1_jizm510 | We need somebody else to replicate this... | 1 | 0 | 2023-05-05T17:40:03 | Charuru | false | null | 0 | jizm510 | false | /r/LocalLLaMA/comments/137xn93/update_yeah_linux_is_a_lot_faster/jizm510/ | false | 1 |
t1_jizm3ke | Adding this one to [Faraday.dev](https://Faraday.dev)! | 1 | 0 | 2023-05-05T17:39:47 | Snoo_72256 | false | null | 0 | jizm3ke | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizm3ke/ | false | 1 |
t1_jizlztn | That is a very cool discovery that you get better tokens when not streaming.. I will have to try this as well o.O | 1 | 0 | 2023-05-05T17:39:05 | disarmyouwitha | false | null | 0 | jizlztn | false | /r/LocalLLaMA/comments/137xn93/update_yeah_linux_is_a_lot_faster/jizlztn/ | false | 1 |
t1_jizlb0p | Update: Decided to run Vicuna 13B ggml on the laptop instead. It's running pretty well. | 1 | 0 | 2023-05-05T17:34:28 | zetskyzone | false | null | 0 | jizlb0p | false | /r/LocalLLaMA/comments/1381usi/laptop_good_enough_for_30b/jizlb0p/ | false | 1 |
t1_jizl7kd | Woah. Didn't even know about agentLLM! That's an amazing resource, thank you | 2 | 0 | 2023-05-05T17:33:48 | _FLURB_ | false | null | 0 | jizl7kd | false | /r/LocalLLaMA/comments/138f632/open_source_agents_the_original_was_just_released/jizl7kd/ | false | 2 |
t1_jizl0kg | YTMND — all of us GPU fiends thank you 🙏 | 1 | 0 | 2023-05-05T17:32:28 | disarmyouwitha | false | null | 0 | jizl0kg | false | /r/LocalLLaMA/comments/138f632/open_source_agents_the_original_was_just_released/jizl0kg/ | false | 1 |
t1_jizkuzd | I knew I needed to buy that 4tb NVMe for a reason! | 3 | 0 | 2023-05-05T17:31:24 | unchima | false | null | 0 | jizkuzd | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizkuzd/ | false | 3 |
t1_jizkmtr | Thank you very much for posting this detailed information!
I have been strongly considering getting another 4090, or perhaps a used A6000, but the information about inference with dual GPU and more exotic cards is very limited — and it’s such an investment to make not knowing what you will get! | 3 | 0 | 2023-05-05T17:29:52 | disarmyouwitha | false | null | 0 | jizkmtr | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jizkmtr/ | false | 3 |
t1_jizkfer | By my maths if they make a 33b model (~25gb) that would still leave tons of room for context in 64gb. I don't mind if it's glacially slow. We dine well tonight! | 2 | 0 | 2023-05-05T17:28:29 | ambient_temp_xeno | false | null | 0 | jizkfer | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizkfer/ | false | 2 |
t1_jizk4z9 | [u/YearZero](https://www.reddit.com/u/YearZero/) Curious if you've ever tried this --mirostat 2 flag in your benchmarks? I wonder if it would make a noticeable improvement? | 1 | 0 | 2023-05-05T17:26:32 | RATKNUKKL | false | null | 0 | jizk4z9 | false | /r/LocalLLaMA/comments/136o0wu/have_you_guys_tried_the_new_mirostat_sampling_in/jizk4z9/ | false | 1 |
t1_jizjqw7 | >Ada Lovelace architecture has FP8 support aswell. This includes RTX 40 series consumer GPU's, professional tier GPU's like the RTX 6000 Ada and datacenter GPU's like the L40.
In that case, I'm pretty optimistic. Our FP8 results for training were good, and Imagine they'll be even better for inference. | 6 | 0 | 2023-05-05T17:23:56 | jfrankle | false | null | 0 | jizjqw7 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizjqw7/ | false | 6 |
t1_jizjoz2 | [removed] | -6 | 0 | 2023-05-05T17:23:35 | [deleted] | true | 2023-05-05T17:31:44 | 0 | jizjoz2 | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizjoz2/ | false | -6 |
t1_jizjknp | I've run it on a 3090. Unusually high CPU/ low GPU load when loading the model, but uses the GPU for inference. | 1 | 0 | 2023-05-05T17:22:48 | PookaMacPhellimen | false | null | 0 | jizjknp | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jizjknp/ | false | 1 |
t1_jizjda5 | Thanks for the update | 1 | 0 | 2023-05-05T17:21:25 | AlphaPrime90 | false | null | 0 | jizjda5 | false | /r/LocalLLaMA/comments/1386o9f/model_for_just_coding/jizjda5/ | false | 1 |
t1_jizix4t | u/YearZero \- Help us make our decision for our next local Llama! | 7 | 0 | 2023-05-05T17:18:27 | regstuff | false | null | 0 | jizix4t | false | /r/LocalLLaMA/comments/138szrl/new_llama_13b_model_from_nomicai_gpt4all13bsnoozy/jizix4t/ | false | 7 |
t1_jizitn6 | I don’t get oom on that model (3090,4090 and added a 3050 with 8gb more VRAM). Surprisingly the 3050 doesn’t slow things down. I’m using windows/ ooga, though, no triton. | 2 | 0 | 2023-05-05T17:17:48 | Labtester | false | null | 0 | jizitn6 | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jizitn6/ | false | 2 |
t1_jiziokj | Please check [https://haystack.deepset.ai/tutorials/22\_pipeline\_with\_promptnode](https://haystack.deepset.ai/tutorials/22_pipeline_with_promptnode) and [https://docs.haystack.deepset.ai/docs/file\_converters](https://docs.haystack.deepset.ai/docs/file_converters) | 3 | 0 | 2023-05-05T17:16:53 | CogahniMarGem | false | null | 0 | jiziokj | false | /r/LocalLLaMA/comments/138up39/answer_questions_on_a_stack_of_word_documents/jiziokj/ | false | 3 |
t1_jizinnc | Yeah I found their hugging face description.
It looks like it needs a full set of 8 80gb A100s to be running inferences with that context length.
>It is linear with LLaMA unless I'm very much mistaken.
I *thought* (don't know 100%) that for most autoregressive llms like gpt/llama it isn't linear. I don't know 100% ... | 2 | 0 | 2023-05-05T17:16:42 | Crafty-Run-6559 | false | null | 0 | jizinnc | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizinnc/ | false | 2 |
t1_jizini2 | Ada Lovelace architecture has FP8 support aswell. This includes RTX 40 series consumer GPU's, professional tier GPU's like the RTX 6000 Ada and datacenter GPU's like the L40. | 4 | 0 | 2023-05-05T17:16:40 | rerri | false | null | 0 | jizini2 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizini2/ | false | 4 |
t1_jizi6h4 | Read through their stuff. Can confirm it doesnt scale linearly.
They picked that context length because it needs ~8x A100 to run inferences. Apparently one node (8x 80gb A100) can do as much as 80k tokens per inference. | 3 | 0 | 2023-05-05T17:13:32 | Crafty-Run-6559 | false | null | 0 | jizi6h4 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizi6h4/ | false | 3 |
t1_jizhvss | per u/ rogerooo in the dedicated [starcoder thread](https://old.reddit.com/r/LocalLLaMA/comments/138hz01/bigcodestarcoder_programming_model_with_155b/jiy478r/) they posted this morning: "[mayank31398](https://huggingface.co/mayank31398) already made GPTQ versions of it both in 8 and 4 bits but, to my knowledge, no GGML... | 1 | 0 | 2023-05-05T17:11:32 | sfhsrtjn | false | null | 0 | jizhvss | false | /r/LocalLLaMA/comments/1386o9f/model_for_just_coding/jizhvss/ | false | 1 |
t1_jizhte2 | > I don't think the memory vs context size scales linearly unfortunately.
It is linear with LLaMA unless I'm very much mistaken. I actually contributed a feature to the Rust equivalent of llama.cpp (think it's just called [llm](https://github.com/rustformers/llm) now) to compress the context when saving a session.
I... | 1 | 0 | 2023-05-05T17:11:04 | KerfuffleV2 | false | null | 0 | jizhte2 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizhte2/ | false | 1 |
t1_jizh78u | Good point. I've tried the two new Pyg models but can't say yet if they're better or not. | 2 | 0 | 2023-05-05T17:06:56 | WolframRavenwolf | false | null | 0 | jizh78u | false | /r/LocalLLaMA/comments/137upg4/wizardvicuna13b_hugging_face/jizh78u/ | false | 2 |
t1_jizh4z5 | The-Bloke contributed some changes that improve performance if you want to update the config.json and try again | 1 | 0 | 2023-05-05T17:06:30 | faldore | false | null | 0 | jizh4z5 | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizh4z5/ | false | 1 |
t1_jizh4sb | 33GB isn't honestly that bad. I'm using 64gb of RAM, I was expecting I might have to increase to 128gb.. lol | 3 | 0 | 2023-05-05T17:06:28 | lolwutdo | false | null | 0 | jizh4sb | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizh4sb/ | false | 3 |
t1_jizh1r4 | Thank you for you service, works like a charm. | 8 | 0 | 2023-05-05T17:05:54 | 77112911 | false | null | 0 | jizh1r4 | false | /r/LocalLLaMA/comments/138szrl/new_llama_13b_model_from_nomicai_gpt4all13bsnoozy/jizh1r4/ | false | 8 |
t1_jizh04x | Right now, the H100 is the only chip I know of that has support for FP8, so that's the only option. I'm hopeful that NVIDIA will release an H10 or something like that (similar to the A10 and T4) that has FP8 and is more affordable. | 6 | 0 | 2023-05-05T17:05:35 | jfrankle | false | null | 0 | jizh04x | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizh04x/ | false | 6 |
t1_jizgrij | >Of course, unless they're using some special approach to attention the computation requirements also go up (even fast than linearly).
I don't think the memory vs context size scales linearly unfortunately. I think the full 65k context even at 4bit is going to take a huge huge amount of memory.
I haven't read into t... | 1 | 0 | 2023-05-05T17:03:59 | Crafty-Run-6559 | false | null | 0 | jizgrij | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizgrij/ | false | 1 |
t1_jizgpq4 | Hi!
A recent MosaicML blog post regarding H100 benchmarking\* mentioned using FP8 precision to boost performace when training a large language model.
Can FP8 precision be used to boost performance/reduce memory consumption **during inference** with MPT-7B models (when running on Hopper/Lovelace based GPU)?
\* [https... | 3 | 0 | 2023-05-05T17:03:39 | rerri | false | 2023-05-05T17:06:50 | 0 | jizgpq4 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizgpq4/ | false | 3 |
t1_jizgo39 | Correct, I'm not bestowing moral authority upon you... as the person releasing a product potentially riskier behavior than the status quo, I'm asking for the equivalent of "please drink responsibly".
We all know that alcohol can lead to poor decisions, but it feels like this similar statement is warranted with your r... | -1 | 0 | 2023-05-05T17:03:21 | millertime3227790 | false | 2023-05-05T17:08:51 | 0 | jizgo39 | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizgo39/ | false | -1 |
t1_jizg8ya | How much RAM would it take for Max Context length?
Would speeds be viable on CPU with that much context? | 9 | 0 | 2023-05-05T17:00:30 | lolwutdo | false | null | 0 | jizg8ya | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizg8ya/ | false | 9 |
t1_jizg7vb | > I'm curious how much ram it would take to get the entire context length
Cut-and-pasting from my other comment:
Assuming the context uses a similar amount of memory to LLaMA you can expect additional memory use of about 1GB per 1024 tokens (if using 32bit "memory", half that if using 16bit which is the default for l... | 6 | 0 | 2023-05-05T17:00:18 | KerfuffleV2 | false | null | 0 | jizg7vb | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizg7vb/ | false | 6 |
t1_jizg67j | >I'm guessing though that you could use a smaller context and use a lower amount of VRAM
Yeah, you have to have something profitable to justify running a model with a 65k context window 24/7.
That being said, on lambda cloud a cluster with 2048gb of ram, 640 vram (8x A100), 128cpus, 27tb storage is only about $8300 p... | 3 | 0 | 2023-05-05T17:00:00 | Crafty-Run-6559 | false | null | 0 | jizg67j | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizg67j/ | false | 3 |
t1_jizg5q1 | MosaicML is a company that makes it easier to deploy models. So, what you are looking for must be in thier website. | 1 | 0 | 2023-05-05T16:59:55 | kulchacop | false | null | 0 | jizg5q1 | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jizg5q1/ | false | 1 |
t1_jizg2gl | yeah I hope so! | 1 | 0 | 2023-05-05T16:59:19 | Tystros | false | null | 0 | jizg2gl | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizg2gl/ | false | 1 |
t1_jizfwql | You should check out [Andrej Karpathy's Youtube video](https://www.youtube.com/watch?v=kCc8FmEb1nY) (and channel) on training language models from scratch. I've been using his [NanoGPT GitHub](https://github.com/karpathy/nanoGPT) as a starting point for various tests and have had some fun training mini GPT models to ad... | 9 | 0 | 2023-05-05T16:58:16 | JoeySalmons | false | null | 0 | jizfwql | false | /r/LocalLLaMA/comments/138rp31/now_what_where_to_learn_more_and_get_started/jizfwql/ | false | 9 |
t1_jizfvlr | I haven’t tried josh-xt, but also faced limitations with current available models when prompting more complex flows. Sometimes it works if you massage the prompt a lot, but then you change one word and it fails miserably. | 2 | 0 | 2023-05-05T16:58:03 | rustedbits | false | null | 0 | jizfvlr | false | /r/LocalLLaMA/comments/138hz01/bigcodestarcoder_programming_model_with_155b/jizfvlr/ | false | 2 |
t1_jizfq06 | Well hopefully it could be a bit faster since it's a different architecture?
I'm sure someone desperate enough will get it to work somehow. lmao | 1 | 0 | 2023-05-05T16:57:00 | lolwutdo | false | null | 0 | jizfq06 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizfq06/ | false | 1 |
t1_jizfn4o | Yeah, sure, that's just one of the models though. Assuming the context uses a similar amount of memory to LLaMA you can expect additional memory use of about 1GB per 1024 tokens (if using 32bit "memory", half that if using 16bit which is the default for llama.cpp).
So that would be, what... About 33GB if you wanted to... | 1 | 0 | 2023-05-05T16:56:28 | KerfuffleV2 | false | null | 0 | jizfn4o | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizfn4o/ | false | 1 |
t1_jizf2hz | Lol, yeah. The problem actually solved itself.Though I still can't use 5bit models without using swap. | 1 | 0 | 2023-05-05T16:52:43 | kedarkhand | false | null | 0 | jizf2hz | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizf2hz/ | false | 1 |
t1_jizeyds | [removed] | -5 | 0 | 2023-05-05T16:51:59 | [deleted] | true | null | 0 | jizeyds | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizeyds/ | false | -5 |
t1_jizerq2 | You mean this part: "we have demonstrated **generations as long as 84k tokens** on a single node of A100-80GB GPUs"? Yeah for that much context, you almost certainly need an a100 or two, maybe even three.
Running 7b 4bit llama models I go from just over 5GB VRAM with no context to about 8GB VRAM at 2k tokens in contex... | 2 | 0 | 2023-05-05T16:50:46 | JoeySalmons | false | 2023-05-05T17:38:16 | 0 | jizerq2 | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jizerq2/ | false | 2 |
t1_jizej9g | ah I see, you custom built it - cool. I already have a desktop (Ryzen 9 5900X + 1000 W TPU + 128gb RAM + 3090) but was wondering how easy it would be to add another 3090 or 4090 without building things from scratch | 2 | 0 | 2023-05-05T16:49:11 | hashuna | false | null | 0 | jizej9g | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jizej9g/ | false | 2 |
t1_jizej1z | [removed] | 0 | 0 | 2023-05-05T16:49:09 | [deleted] | true | 2023-05-05T21:05:47 | 0 | jizej1z | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizej1z/ | false | 0 |
t1_jizegod | I think itl actually use significantly more memory for inferences if you try to push a 65k context through it though.
Even llama uses more as the context size goes up. | 3 | 0 | 2023-05-05T16:48:43 | Crafty-Run-6559 | false | null | 0 | jizegod | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizegod/ | false | 3 |
t1_jizeb70 | >Are you expecting to reduce the loss or is it just a matter of diminishing returns from now on? Thanks for the effort and good luck with the journey!
Working on that now and will let you know soon! | 10 | 0 | 2023-05-05T16:47:41 | jfrankle | false | null | 0 | jizeb70 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizeb70/ | false | 10 |
t1_jize954 | We don't think datasets like Alpaca and Vicuna are a good idea to use commercially. | 33 | 0 | 2023-05-05T16:47:19 | jfrankle | false | 2023-05-06T13:05:12 | 0 | jize954 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jize954/ | false | 33 |
t1_jizdxy1 | [deleted] | 2 | 0 | 2023-05-05T16:45:14 | [deleted] | true | null | 0 | jizdxy1 | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizdxy1/ | false | 2 |
t1_jizdn9k | Why is Chat released under non commercial use only? | 4 | 0 | 2023-05-05T16:43:13 | oscarpildez | false | null | 0 | jizdn9k | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizdn9k/ | false | 4 |
t1_jizdmmn | r/DataHoarder | 26 | 0 | 2023-05-05T16:43:05 | kulchacop | false | null | 0 | jizdmmn | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizdmmn/ | false | 26 |
t1_jizdlqf | [removed] | -1 | 0 | 2023-05-05T16:42:55 | [deleted] | true | null | 0 | jizdlqf | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizdlqf/ | false | -1 |
t1_jizdhin | I've been working on getting josh-xt implementation working and keep coming up with errors sadly. They are going to have all this working eventually so that it can change out the model for different tasks. That will be sweet. Josh-xt already has the functionality to pin up lots of different workers and pin them to diff... | 2 | 0 | 2023-05-05T16:42:07 | artificial_genius | false | 2023-05-05T17:11:02 | 0 | jizdhin | false | /r/LocalLLaMA/comments/138hz01/bigcodestarcoder_programming_model_with_155b/jizdhin/ | false | 2 |
t1_jizd95r | Are your PCIe risers 3.0x16 to 3.0x16 (aka full bandwidth for the slot) | 1 | 0 | 2023-05-05T16:40:36 | GrandDemand | false | null | 0 | jizd95r | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jizd95r/ | false | 1 |
t1_jizd7qt | It all depends on what you want to do, but here are some ideas:
Learn about the components that make an LLM work. Learn about tokenizers, embeddings, neural nets (for the learning model). Maybe study up on Natural Language Processing (in general) and how it is done using neural net approaches.
Learn how to read the t... | 7 | 0 | 2023-05-05T16:40:20 | the_unknown_coder | false | 2023-05-05T16:43:50 | 0 | jizd7qt | false | /r/LocalLLaMA/comments/138rp31/now_what_where_to_learn_more_and_get_started/jizd7qt/ | false | 7 |
t1_jizd5v2 | [deleted] | 3 | 0 | 2023-05-05T16:39:59 | [deleted] | true | null | 0 | jizd5v2 | false | /r/LocalLLaMA/comments/137jx4i/does_a_65b_model_feel_remotely_like_a_chatgpt/jizd5v2/ | false | 3 |
t1_jizd3ne | You're right, I misread it as inference when it only mentions finetuning. | 1 | 0 | 2023-05-05T16:39:34 | rerri | false | null | 0 | jizd3ne | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizd3ne/ | false | 1 |
t1_jizd3as | Are you expecting to reduce the loss or is it just a matter of diminishing returns from now on? Thanks for the effort and good luck with the journey! | 6 | 0 | 2023-05-05T16:39:30 | Rogerooo | false | null | 0 | jizd3as | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizd3as/ | false | 6 |
t1_jizczw0 | thank you so much for your contributions to the space.
So far of all the models you GPTQ'd, do you have a favorite? | 20 | 0 | 2023-05-05T16:38:52 | estrafire | false | null | 0 | jizczw0 | false | /r/LocalLLaMA/comments/138szrl/new_llama_13b_model_from_nomicai_gpt4all13bsnoozy/jizczw0/ | false | 20 |
t1_jizcknb | Impressive work! Very excited to see llama.cpp support. | 27 | 0 | 2023-05-05T16:36:04 | spirilis | false | null | 0 | jizcknb | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizcknb/ | false | 27 |
t1_jizckb4 | They're trained on different datasets. | 12 | 0 | 2023-05-05T16:36:00 | jfrankle | false | 2023-05-06T23:04:07 | 0 | jizckb4 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizckb4/ | false | 12 |
t1_jizb7x0 | That's correct, you probably won't be able to run it unless you have a 3090, and this is assuming half precision.
This is of course without the use of GPTQ, you should be able to run it with your GPU once it's 4 bit quantized. | 2 | 0 | 2023-05-05T16:26:55 | 2muchnet42day | false | null | 0 | jizb7x0 | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jizb7x0/ | false | 2 |
t1_jizaxdv | Hi folks - It's Jonathan from MosaicML. Happy to answer any questions or give more info. Most importantly, we're looking into llama.cpp support! | 80 | 0 | 2023-05-05T16:24:57 | jfrankle | false | null | 0 | jizaxdv | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizaxdv/ | false | 80 |
t1_jizasd3 | Lots of very interesting comments here and I can't tell you anything more about any of them yet.
I got two 7900 XTX's in parallel and ROCm 5.5 promptly segfaulted on me the moment I tried inference. Waiting on 3090s to arrive now. | 1 | 0 | 2023-05-05T16:24:02 | friedrichvonschiller | false | null | 0 | jizasd3 | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jizasd3/ | false | 1 |
t1_jizas1x | I will never live this down. | 16 | 0 | 2023-05-05T16:23:58 | jfrankle | false | null | 0 | jizas1x | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jizas1x/ | false | 16 |
t1_jizampj | To be fair, they sounded like they did much more evaluation that they did not share for, i guess, understandable reasons. But the "benchmark" that remained seems really inadequate to judge it by that. I think binary questions can work but they would have to cover a broader spectrum. | 2 | 0 | 2023-05-05T16:23:00 | involviert | false | null | 0 | jizampj | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jizampj/ | false | 2 |
t1_jizajej | Yeah I grabbed wizard uncensored last night.
Adding both uncensored seems promising.
Wonder if pygmilion would help or hurt it. | 4 | 0 | 2023-05-05T16:22:23 | Tom_Neverwinter | false | null | 0 | jizajej | false | /r/LocalLLaMA/comments/137upg4/wizardvicuna13b_hugging_face/jizajej/ | false | 4 |
t1_jiz9lu8 | It's early, I probably misinterpreted what they were saying, but it sounded like they said they used an 8xA100 to do inferencing at the end - maybe that was overkill :).
So that brings up the question - what would it take to run this model for inferencing? I doubt I can run it on a 3080ti with anywhere near its possib... | 2 | 0 | 2023-05-05T16:16:10 | deepinterstate | false | null | 0 | jiz9lu8 | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jiz9lu8/ | false | 2 |
t1_jiz9d06 | I'm on a 12gb 3080ti right now - pretty sure I can't run this in oobabooga. Not sure what it would take... | 1 | 0 | 2023-05-05T16:14:32 | deepinterstate | false | null | 0 | jiz9d06 | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jiz9d06/ | false | 1 |
t1_jiz8up3 | My special interest is to auto translate a large corpus of difficult philosophical texts from English to German and I want to see, if there is any benefit in applying the bazooka to it.
Other than that, many use cases are thinkable. My next technical goal is to figure out, how to produce a LoRA for this.
And finally... | 2 | 0 | 2023-05-05T16:11:08 | MasterH0rnet | false | null | 0 | jiz8up3 | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jiz8up3/ | false | 2 |
t1_jiz8si6 | I refuse to call this anything but longboi | 30 | 0 | 2023-05-05T16:10:43 | themostofpost | false | null | 0 | jiz8si6 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiz8si6/ | false | 30 |
t1_jiz8ot9 | i use kinux so only 900 mb is used | 1 | 0 | 2023-05-05T16:10:02 | kedarkhand | false | null | 0 | jiz8ot9 | false | /r/LocalLLaMA/comments/138ejl2/efficient_memory_optimizations_for_llamacpp/jiz8ot9/ | false | 1 |
t1_jiz8npk | I'll have to look into that. | 1 | 0 | 2023-05-05T16:09:49 | SebSenseGreen | false | null | 0 | jiz8npk | false | /r/LocalLLaMA/comments/1380rx8/longterm_memory/jiz8npk/ | false | 1 |
t1_jiz8j0k | for fine tuning, not for just running it | 2 | 0 | 2023-05-05T16:08:57 | Tystros | false | null | 0 | jiz8j0k | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiz8j0k/ | false | 2 |
t1_jiz8j18 | "trained on up to 65k inputs and can handle up to 84k"
That's a lot of context for a tiny model .\_. | 13 | 0 | 2023-05-05T16:08:57 | swittk | false | null | 0 | jiz8j18 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiz8j18/ | false | 13 |
t1_jiz8eux | I just installed the oobabooga webui with the long-term memory. Now that's more like it. It's pretty stupid though, nowhere close to ChatGPT. But at least it remembers what we're talking about. Thanks for the suggestions. | 1 | 0 | 2023-05-05T16:08:11 | SebSenseGreen | false | null | 0 | jiz8eux | false | /r/LocalLLaMA/comments/1380rx8/longterm_memory/jiz8eux/ | false | 1 |
t1_jiz8dhg | I think in llama.cpp the speed scales with the size of the input prompt? so if the input prompt is 65k, that might make the speed totally unusable there? | 4 | 0 | 2023-05-05T16:07:56 | Tystros | false | null | 0 | jiz8dhg | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiz8dhg/ | false | 4 |
t1_jiz888i | I hope so! | 5 | 0 | 2023-05-05T16:06:58 | Tystros | false | null | 0 | jiz888i | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiz888i/ | false | 5 |
t1_jiz7s9t | the 8xA100 they talked about is for fine tuning it, not for running it. fine tuning needs a lot more VRAM than just inference | 5 | 0 | 2023-05-05T16:03:58 | Tystros | false | null | 0 | jiz7s9t | false | /r/LocalLLaMA/comments/138pr5l/so_somebody_clue_me_in_on_how_to_run/jiz7s9t/ | false | 5 |
t1_jiz7fba | I don't get it. Is this just code completion, or is it instruction following with emphasis on coding? Can I, say, input a buggy function to it and ask for the fix? | 2 | 0 | 2023-05-05T16:01:31 | phenotype001 | false | null | 0 | jiz7fba | false | /r/LocalLLaMA/comments/138hz01/bigcodestarcoder_programming_model_with_155b/jiz7fba/ | false | 2 |
t1_jiz7e52 | Why are you saving so many? | 12 | 0 | 2023-05-05T16:01:18 | Bandit-level-200 | false | null | 0 | jiz7e52 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiz7e52/ | false | 12 |
t1_jiz7bfl | Yeah, I use the Alpaca 13B model. Today I was talking to it and it seems like it remembered what I was talking about for 2 sentences and then start blabbering about something else nonsensical. | 1 | 0 | 2023-05-05T16:00:47 | SebSenseGreen | false | null | 0 | jiz7bfl | false | /r/LocalLLaMA/comments/1380rx8/longterm_memory/jiz7bfl/ | false | 1 |
t1_jiz6v0y | Maybe I did something wrong but it doesn't have any memory whatsoever. For example, I'll have some interaction, it will answer with a question to know more, I'll answer and it will reply something that has absolutely nothing to do with what it asked me.
Here's a mock up example:
**Me:** I'm hungry and there's three a... | 1 | 0 | 2023-05-05T15:57:46 | SebSenseGreen | false | null | 0 | jiz6v0y | false | /r/LocalLLaMA/comments/1380rx8/longterm_memory/jiz6v0y/ | false | 1 |
t1_jiz6umt | Of course, it would be ok for me to state an opinion like that on my own post.
However I hold no moral authority.
When I say it's incumbent I mean that it is naturally so, not because I say so.
In the same way that it's incumbent on the owner of a car to drive responsibly, or on the owner of a knife to cut responsib... | 6 | 0 | 2023-05-05T15:57:41 | faldore | false | null | 0 | jiz6umt | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jiz6umt/ | false | 6 |
t1_jiz6pjm | No need to waterblock them in my simple setup, they got a lot of air to breathe. Fans never going above 30%, temperature steady at around 50° to 60° C.
Yes, the VRAM gets overfull. I think it's due to poor optimization. It may work using nvidia triton inference server instead of hugginface accelerates "naive" implemen... | 2 | 0 | 2023-05-05T15:56:45 | MasterH0rnet | false | null | 0 | jiz6pjm | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jiz6pjm/ | false | 2 |
t1_jiz62k6 | i dont really have a copypaste string with this question, its always a variation with the same idea - one file = one zip. This one was worded awfully, but its nowhere near as awful as i see in analytics when i actually do code in a bank. My problem is exactly that syntax error you are getting - sometimes it forgets to ... | 1 | 0 | 2023-05-05T15:52:32 | LienniTa | false | null | 0 | jiz62k6 | false | /r/LocalLLaMA/comments/1386o9f/model_for_just_coding/jiz62k6/ | false | 1 |
t1_jiz5m91 | ​
https://preview.redd.it/un96abfes2ya1.png?width=1280&format=png&auto=webp&v=enabled&s=1c617485c2a73e64c5748c4aa8df197406f6e937 | 3 | 0 | 2023-05-05T15:49:34 | hwpoison | false | null | 0 | jiz5m91 | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jiz5m91/ | false | 3 |
t1_jiz56a6 | Same. | 2 | 0 | 2023-05-05T15:46:34 | deepinterstate | false | null | 0 | jiz56a6 | false | /r/LocalLLaMA/comments/138nddb/mpt7b_a_opensource_model_trained_on_1_trillion/jiz56a6/ | false | 2 |
t1_jiz51er | Yes, this is all run on a Linux headless server. Triton only runs on Linux. 🙂 | 3 | 0 | 2023-05-05T15:45:39 | MasterH0rnet | false | null | 0 | jiz51er | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jiz51er/ | false | 3 |
t1_jiz4zs3 | [deleted] | 2 | 0 | 2023-05-05T15:45:21 | [deleted] | true | null | 0 | jiz4zs3 | false | /r/LocalLLaMA/comments/1353xal/nvidia_released_a_2b_model_trained_on_11t_tokens/jiz4zs3/ | false | 2 |
t1_jiz4t6o | You can actually save roughly 1.2GB by using 1024 groupsize when quantizing. TheBloke graciously provides one as well, but I could not yet get it to run and the error seems quite exotic.
I may have to quantize myself to find out. Observing how the memory behaves I'm quite optimistic that 1024 bit will run with 2048 m... | 2 | 0 | 2023-05-05T15:44:08 | MasterH0rnet | false | null | 0 | jiz4t6o | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jiz4t6o/ | false | 2 |
t1_jiz4hcp | Depends on the LORA. If you're training one on every doctor who script to help with your fanfiction, then sure. Maybe 20mb for a 4bit LORA. If you're training one on contract law for actual legal purposes, and you need it to be broad (high params) and precise (16bit or better) and capable (large context window), th... | 1 | 0 | 2023-05-05T15:41:59 | candre23 | false | null | 0 | jiz4hcp | false | /r/LocalLLaMA/comments/137syol/google_we_have_no_moat_and_neither_does_openai/jiz4hcp/ | false | 1 |
t1_jiz4eul | Do you have them waterblocked? If you run nvtop, is it clear whether the bottleneck is GPU, CPU, thermal, bus, or other? | 1 | 0 | 2023-05-05T15:41:31 | friedrichvonschiller | false | null | 0 | jiz4eul | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jiz4eul/ | false | 1 |
t1_jiz4and | Oh REALLY looking forward to the 30 and 13! Thanks so much for your effort. This is Gods work. | 3 | 0 | 2023-05-05T15:40:47 | -becausereasons- | false | null | 0 | jiz4and | false | /r/LocalLLaMA/comments/1384u1g/wizardlm7buncensored/jiz4and/ | false | 3 |
t1_jiz490b | I'd be interested myself to run them. I may write a little script later today, but I cannot guarantee. | 1 | 0 | 2023-05-05T15:40:28 | MasterH0rnet | false | null | 0 | jiz490b | false | /r/LocalLLaMA/comments/138lxrp/llama4bit_inference_speed_for_various_context/jiz490b/ | false | 1 |
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