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_jielva3 | In complete layman term the less the group size the more precise is the model, but more memory is required.
In terms of layman who knows how to calculate `y=mx+b` and how to round numbers you need to understand how quantization works.
To greatly simplify
you take a sequence of N floats like [0.0, 10.0, 0.0, 100.0],... | 33 | 0 | 2023-05-01T07:28:06 | Maykey | false | 2023-05-01T07:34:01 | 0 | jielva3 | false | /r/LocalLLaMA/comments/134aolr/what_is_the_difference_on_group_size_when_using_a/jielva3/ | false | 33 |
t1_jielmuu | Wet dreams with Single die COREs+40GB VRAM.
But imagine the size and PRICE is this chip. :( | 1 | 0 | 2023-05-01T07:24:31 | TheuerW | false | null | 0 | jielmuu | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jielmuu/ | false | 1 |
t1_jiej80y | [deleted] | 2 | 0 | 2023-05-01T06:49:31 | [deleted] | true | 2023-05-15T07:22:24 | 0 | jiej80y | false | /r/LocalLLaMA/comments/1341x0c/how_do_i_install_vicuna_to_be_used_in_notebooks/jiej80y/ | false | 2 |
t1_jiei4ds | The effect of using 128g is that it takes up more peak vram, but is more accurate.
You need tune to a Lower maximum context size, as 2048 ctx length for 128g model will rise too high in vram.
I think this "groupsize" things only is for running gptq quantized model on GPU. | 1 | 0 | 2023-05-01T06:34:08 | BackgroundFeeling707 | false | null | 0 | jiei4ds | false | /r/LocalLLaMA/comments/134aolr/what_is_the_difference_on_group_size_when_using_a/jiei4ds/ | false | 1 |
t1_jiehil2 | Here is an instruction-following .yaml for the Metharme model following the example on the model card. [I'm having some trouble outputting the options most of the times]( https://i.imgur.com/soJhupE.png) (waifu-workshop q4_2), perhaps it's a matter of hyperparameters or poor context, but try it out, it seems quite fun ... | 3 | 0 | 2023-05-01T06:25:33 | Rogerooo | false | 2023-05-01T06:34:49 | 0 | jiehil2 | false | /r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jiehil2/ | false | 3 |
t1_jieha9r | You'll need the accompanying text files from the [regular release](https://huggingface.co/decapoda-research/llama-13b-hf). Put them all in the same folder, named something like llama-13b-hf, then you would run as usual loading in 4-bit.
Is there a specific reason you're trying to use decapoda-research models? If not, ... | 1 | 0 | 2023-05-01T06:22:20 | Civil_Collection7267 | false | null | 0 | jieha9r | false | /r/LocalLLaMA/comments/134eay9/has_anyone_managed_to_load_llama_quantized_4bit/jieha9r/ | true | 1 |
t1_jieflhd | I’m not sure how well a 960M will perform here, I’m afraid it may not support the right version of CUDA, so I would honestly recommend a GGML 7B 4-bit quantized model.
The 6700HQ is still a good processor, though to set expectations, I think 3-4 tokens per second on the 7B parameter model is probably pretty reasonabl... | 1 | 0 | 2023-05-01T05:59:15 | AemonAlgizVideos | false | null | 0 | jieflhd | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jieflhd/ | false | 1 |
t1_jiee9os | I think if you could share the results that would be an extremely helpful benchmark even if most people don’t have as good of a card. | 3 | 0 | 2023-05-01T05:41:40 | xRolocker | false | null | 0 | jiee9os | false | /r/LocalLLaMA/comments/1349kek/lora_training_vicuna_13b_with_big_text_files/jiee9os/ | false | 3 |
t1_jiebuxg | Very good writeup, not OP but I'd really appreciate some model recs! Currently the best hardware I've got access to is a laptop with a GTX 960 M GPU and an Intel I-7-6700HQ CPU with 16gb RAM. Hard drive space is also quite limited unfortunately. Thanks a bunch! | 1 | 0 | 2023-05-01T05:11:33 | WrathPie | false | null | 0 | jiebuxg | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jiebuxg/ | false | 1 |
t1_jie9z2j | [removed] | 1 | 0 | 2023-05-01T04:49:25 | [deleted] | true | 2023-05-01T04:54:32 | 0 | jie9z2j | false | /r/LocalLLaMA/comments/12z4m4y/llm_models_vs_final_jeopardy/jie9z2j/ | false | 1 |
t1_jie9n2k | >Are there prompt .txt files for llama.cpp of these?
llama.cpp comes with alpaca.txt to be used in instruction mode. There were some new ones added, but they were deleted with [PR#982](https://github.com/ggerganov/llama.cpp/pull/982). You can instead try the example [here in PR#1196](https://github.com/ggerganov/llama... | 7 | 0 | 2023-05-01T04:45:35 | Civil_Collection7267 | false | null | 0 | jie9n2k | false | /r/LocalLLaMA/comments/1343bgz/what_model_parameters_is_everyone_using/jie9n2k/ | false | 7 |
t1_jie920i | [deleted] | 2 | 0 | 2023-05-01T04:39:02 | [deleted] | true | null | 0 | jie920i | false | /r/LocalLLaMA/comments/133us6p/created_a_discord_bot_that_understand_images/jie920i/ | false | 2 |
t1_jie826d | So, interesting story there. Running your project is how I found out my motherboard wasn't able to recognize or utilize either of my 7900 XTXs. They still showed up in lspci and vulkaninfo, which led to all kinds of fun adventures trying to get SHARK and directml working.
Wacky stuff, but I'm relieved to know. Right n... | 2 | 0 | 2023-05-01T04:28:14 | friedrichvonschiller | false | null | 0 | jie826d | false | /r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jie826d/ | false | 2 |
t1_jidzu15 | I am trying to fine tune Koala, would be great if you can share your experience and outcomes | 3 | 0 | 2023-05-01T03:07:47 | deejay217 | false | null | 0 | jidzu15 | false | /r/LocalLLaMA/comments/1349kek/lora_training_vicuna_13b_with_big_text_files/jidzu15/ | false | 3 |
t1_jidzr9z | you're epocs are very high, batch size is also very high. actaully all your numbers are. Bellow is what the original alpaca-lora was trained on:
\--batch\_size 128 \\ --micro\_batch\_size 4 \\ --num\_epochs 3 \\ --learning\_rate 1e-4 \\ --cutoff\_len 512 \\ --val\_set\_size 2000 \\ --lora\_r 8 ... | 13 | 0 | 2023-05-01T03:07:04 | wind_dude | false | 2023-05-01T14:34:56 | 0 | jidzr9z | false | /r/LocalLLaMA/comments/1349kek/lora_training_vicuna_13b_with_big_text_files/jidzr9z/ | false | 13 |
t1_jidzqsm | Using 30b models sometimes get me above 32gb of RAM, so that amount could be pretty borderline to buy imo. though windows is also eating up a bunch I imagine. Haven't tried the 65b models yet.
As for 30b, there are good models out there. I'm using alpacino for example an it works very well for my needs from what I've ... | 1 | 0 | 2023-05-01T03:06:58 | PlanVamp | false | null | 0 | jidzqsm | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidzqsm/ | false | 1 |
t1_jidz55m | Thank you, great advice! | 2 | 0 | 2023-05-01T03:01:33 | Away-Sleep-2010 | false | null | 0 | jidz55m | false | /r/LocalLLaMA/comments/13416mc/please_convert_pygmalion_7bs_to_ggml/jidz55m/ | false | 2 |
t1_jidz4fv | Thank you! :-) | 1 | 0 | 2023-05-01T03:01:22 | Away-Sleep-2010 | false | null | 0 | jidz4fv | false | /r/LocalLLaMA/comments/13416mc/please_convert_pygmalion_7bs_to_ggml/jidz4fv/ | false | 1 |
t1_jidz3n8 | Thank you so much! | 2 | 0 | 2023-05-01T03:01:10 | Away-Sleep-2010 | false | null | 0 | jidz3n8 | false | /r/LocalLLaMA/comments/13416mc/please_convert_pygmalion_7bs_to_ggml/jidz3n8/ | false | 2 |
t1_jidyrrv | > Alpaca, Vicuna v0, Vicuna v1.1, and OASST LLaMA use different ones. They're listed in this section here.
Are there prompt .txt files for llama.cpp of these?
Alpaca is different too, right? llama.cpp has:
```
-ins, --instruct run in instruction mode (use with Alpaca models)
```
which does some other stuf... | 2 | 0 | 2023-05-01T02:58:11 | SufficientPie | false | null | 0 | jidyrrv | false | /r/LocalLLaMA/comments/1343bgz/what_model_parameters_is_everyone_using/jidyrrv/ | false | 2 |
t1_jidw24i | Interesting. However I shiver at the time this would make me spend on prompt crafting and inference setting tuning. Even with 7B models I spend days trying various stuff to get more out of it. Sure, with a finished prompt pattern and matching settings I could imagine it using it at that speed for some applications.
Hm... | 1 | 0 | 2023-05-01T02:35:02 | involviert | false | null | 0 | jidw24i | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidw24i/ | false | 1 |
t1_jidulwy | Add option like [ -t n ] as n is number of your cores maybe? In this case, -t 8. It worked for me. I'm using llama.cpp though. | 2 | 0 | 2023-05-01T02:22:53 | ruryrury | false | null | 0 | jidulwy | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidulwy/ | false | 2 |
t1_jidtski | >Also BLAS really only helps the prompt ingestion if I understand it correctly
Ah, yes, that fits my observations. I would not underestimate that, it eliminates some pretty big weaknesses. Startup time regarding ingestion can be highly relevant if you're doing your stuff based on individual prompts, and what takes the... | 1 | 0 | 2023-05-01T02:16:11 | involviert | false | null | 0 | jidtski | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidtski/ | false | 1 |
t1_jidts4t | The 30B/65B without AVX512 would probably run pretty poorly, unfortunately. | 2 | 0 | 2023-05-01T02:16:05 | AemonAlgizVideos | false | null | 0 | jidts4t | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidts4t/ | false | 2 |
t1_jidt5s6 | BTW we are currently gathering data points on runnable devices and their speed. Would you be willing to assist us in this effort by sharing the tokens/sec data on your device?
Link: https://github.com/mlc-ai/mlc-llm/issues/15 | 1 | 0 | 2023-05-01T02:11:02 | yzgysjr | false | null | 0 | jidt5s6 | false | /r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jidt5s6/ | false | 1 |
t1_jidt46s | We have a spare dell r620 with 20c/40threads dual Xeons with 384GB ram, curious to what you guys would recommend running on that, GPU wise = nill other than the onboard and as its a 1u server, chances of putting a dedicated gfx card inside is pretty much imposs. | 2 | 0 | 2023-05-01T02:10:40 | a1fans_dot_com | false | null | 0 | jidt46s | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidt46s/ | false | 2 |
t1_jidt1f9 | Thank you for sharing the information! We are currently gathering data points on runnable devices and their speed. Would you be willing to assist us in this effort by sharing the tokens/sec data on your AMD GPU?
Link: https://github.com/mlc-ai/mlc-llm/issues/15 | 2 | 0 | 2023-05-01T02:10:04 | yzgysjr | false | null | 0 | jidt1f9 | false | /r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jidt1f9/ | false | 2 |
t1_jidssz9 | I personally never got AMDGPU-Pro working. No idea :(
BTW, thank you for sharing the information! We are currently gathering data points on runnable devices and their speed. Would you be willing to assist us in this effort by sharing the tokens/sec data on your AMD GPU?
Link: https://github.com/mlc-ai/mlc-llm/issues/... | 2 | 0 | 2023-05-01T02:08:12 | yzgysjr | false | null | 0 | jidssz9 | false | /r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jidssz9/ | false | 2 |
t1_jidrsh6 | Thanks for the description. I did read their Medium article. Did you find a sweet spot for the cross-entropy? I see the authors suggested 3, but Llama.cpp defaults to 5. | 5 | 0 | 2023-05-01T02:00:17 | Pan000 | false | null | 0 | jidrsh6 | false | /r/LocalLLaMA/comments/133kzb8/llamacpp_new_samplers/jidrsh6/ | false | 5 |
t1_jidov4u | The short answer is no (and the easy solutions are already mentioned above/below).
4-bit quantized models aren't that bad. They are often just marginally worse than the single/half precision models.
For a large amount of ram cheaply, you can turn to either ebay for scrap server xeons and motherboards which support ... | 5 | 0 | 2023-05-01T01:37:09 | perlamer | false | null | 0 | jidov4u | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidov4u/ | false | 5 |
t1_jidoup9 | Use Bing chat which is superior but requires Edge browser unless you must have it running locally. | 2 | 0 | 2023-05-01T01:37:03 | mi7chy | false | null | 0 | jidoup9 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidoup9/ | false | 2 |
t1_jidnm90 | You might find these parameters from the wiki helpful:
||**Precise**|**Creative**|**Sphinx**|
|:-|:-|:-|:-|
|**Good for:**|*factual responses and straightforward assistant answers*|*chatting, storywriting, and interesting assistant answers*|*varied storywriting* ***(on 30B/65B)*** *and unconventional chatting*|
|tempe... | 13 | 0 | 2023-05-01T01:27:04 | Civil_Collection7267 | false | null | 0 | jidnm90 | false | /r/LocalLLaMA/comments/1343bgz/what_model_parameters_is_everyone_using/jidnm90/ | false | 13 |
t1_jidl7t7 | In theory you could run the 4-bit 7B parameter model with llama.cpp. It will be a pretty darn close call though | 2 | 0 | 2023-05-01T01:07:44 | AemonAlgizVideos | false | null | 0 | jidl7t7 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidl7t7/ | false | 2 |
t1_jidl0hr | Great rundown! Silly question here: is there anything I could run on i7 6700 and 4gb ram? Just asking out of curiosity. Literally anything just to see if it would work. Trying to get more ram eventually all I got for now. | 1 | 0 | 2023-05-01T01:06:02 | kif88 | false | null | 0 | jidl0hr | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidl0hr/ | false | 1 |
t1_jidkq1r | Now only if that vram was usable without going through a bunch of bullshit. | 2 | 0 | 2023-05-01T01:03:38 | Honato2 | false | null | 0 | jidkq1r | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jidkq1r/ | false | 2 |
t1_jidj84z | Your guess is as good as mine, then. Nobody's going to run an old card like a P40 with modern infrastructure, so you'll likely have to try it yourself or guess based on specs. | 2 | 0 | 2023-05-01T00:51:24 | friedrichvonschiller | false | null | 0 | jidj84z | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jidj84z/ | false | 2 |
t1_jidi3p5 | If your machine has 64 GB RAM, then you can run the 65B models at 4-bit quantization, and at least the 13B models at full f16 resolution - all using llama.cpp. Recently, that project has added support for a 5-bit quantization as well. Quality degradation from quantization seems quite limited, and being able to use the ... | 3 | 0 | 2023-05-01T00:42:21 | gammalsvenska | false | null | 0 | jidi3p5 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidi3p5/ | false | 3 |
t1_jidhssd | [removed] | 1 | 0 | 2023-05-01T00:39:55 | [deleted] | true | null | 0 | jidhssd | false | /r/LocalLLaMA/comments/1343bgz/what_model_parameters_is_everyone_using/jidhssd/ | false | 1 |
t1_jidhpqc | Unless I'm missing something, I don't see the telsa p40 on there which is not surprising. It is an obscure card for consumers. I've talked to a few people on reddit who have them on another thread. That listed a few vague performance numbers that are too vague or too much vram to reproduce on my 2070. | 1 | 0 | 2023-05-01T00:39:14 | TashaTime | false | null | 0 | jidhpqc | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jidhpqc/ | false | 1 |
t1_jidfdjv | Just use 7b-4bit lol. They're pretty good and work well for most tasks. I use them and they can write stories, chat, answer questions on factual topics accurate and correctly, provide recommendations, write code... They obviously aren't as good as larger models, but they're more than usable. You can also run 13b models... | 3 | 0 | 2023-05-01T00:20:31 | Kafke | false | null | 0 | jidfdjv | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidfdjv/ | false | 3 |
t1_jidcitq | I do compile it myself, but since I run it in a virtual machine GPU support won't help me much. Also BLAS really only helps the prompt ingestion if I understand it correctly. So it helps it process your prompt, but after that it doesn't help much. Even without clblast, the current version of llama.cpp is so fast to res... | 2 | 0 | 2023-04-30T23:57:55 | fallingdowndizzyvr | false | null | 0 | jidcitq | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jidcitq/ | false | 2 |
t1_jida2gc | I have only 8GB of RAM, the best result was with main.exe -m model/vicuna-AlekseyKorshuk-7B-GPTQ-4bit-128g.GGML.bin -c 512 -b 2024 -n 256 --keep 48 --repeat\_penalty 1.0 --color -i -r "## Human:" -f prompts/chat.txt --mlock , the aleksey and the vicuna7B, in terms of memory give me good answers. But i'm new on this ma... | 6 | 0 | 2023-04-30T23:38:47 | hwpoison | false | null | 0 | jida2gc | false | /r/LocalLLaMA/comments/1343bgz/what_model_parameters_is_everyone_using/jida2gc/ | false | 6 |
t1_jid9y81 | [...]/lib/python3.10/site-packages/accelerate/utils/offload.py", line 170, in __getitem__
weight_info = self.index[key]
KeyError: 'model.layers.42.self_attn.q_proj.wf1'
Output generated in 2.58 seconds (0.00 tokens/s, 0 tokens, context 11, seed 96747233)
Isn't working for me :(
Do I need to se... | 1 | 0 | 2023-04-30T23:37:50 | TiagoTiagoT | false | null | 0 | jid9y81 | false | /r/LocalLLaMA/comments/12vkfcz/openassistant_just_put_their_30b_model_back_on_hf/jid9y81/ | false | 1 |
t1_jid98q3 | You can. Running a 65b model using 3 cores on my older midrange i5, I get about 0.5 tokens/second. Not fast by any measure but not unusable. A 7b model is like watching someone type, a 13b model is like texting with someone and a 65b model is like emailing with them. | 3 | 0 | 2023-04-30T23:32:16 | fallingdowndizzyvr | false | null | 0 | jid98q3 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jid98q3/ | false | 3 |
t1_jid6h6p | If you don't mind OpenAI storing all of your conversations, controlling what models can/can't say, and paying money to use their API, then yeah there's not much reason to use a local model. *Most* people are probably better off using ChatGPT.
> when you need a pretty good video card
Actually most of the discussion o... | 11 | 0 | 2023-04-30T23:10:29 | TeamPupNSudz | false | null | 0 | jid6h6p | false | /r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jid6h6p/ | false | 11 |
t1_jid5rqu | Sure. Tom's Hardware would. I've quickly come to appreciate them.
[Stable Diffusion](https://www.tomshardware.com/news/stable-diffusion-gpu-benchmarks)
[Oobabooga](https://www.tomshardware.com/news/running-your-own-chatbot-on-a-single-gpu) | 3 | 0 | 2023-04-30T23:05:05 | friedrichvonschiller | false | null | 0 | jid5rqu | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jid5rqu/ | false | 3 |
t1_jid5e22 | I've been playing with Mirostat and it's pretty effective so far. It's based on the idea that there's a "sweet spot" of randomness when generating text: too low and you get repetition, too high and it becomes an incoherent jumble.
Mirostat lets you define a target cross-entropy measuring how "random" the model's gener... | 6 | 0 | 2023-04-30T23:02:08 | Bentameter | false | 2023-04-30T23:13:32 | 0 | jid5e22 | false | /r/LocalLLaMA/comments/133kzb8/llamacpp_new_samplers/jid5e22/ | false | 6 |
t1_jid59a3 | RAM has come down in price over the last year. If you haven't checked what it would cost to upgrade, you might be positively surprised. | 1 | 0 | 2023-04-30T23:01:07 | allredidit | false | null | 0 | jid59a3 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jid59a3/ | false | 1 |
t1_jid3r6h | this 13b ended up worse than the 7b IMHO, [https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-13bbbaaaaddd](https://huggingface.co/winddude/wizardLM-LlaMA-LoRA-13bbbaaaaddd), but the training params were much different, because I had less powerful gpus for training. | 1 | 0 | 2023-04-30T22:49:43 | wind_dude | false | null | 0 | jid3r6h | false | /r/LocalLLaMA/comments/1300fxe/new_llama_lora_trained_on_wizardlm_dataset/jid3r6h/ | false | 1 |
t1_jid3ed9 | https://huggingface.co/gozfarb/pygmalion-7b-4bit-128g-cuda/
https://huggingface.co/Monero/Pygmalion-Metharme-7b-4bit-TopScore/ | 4 | 0 | 2023-04-30T22:47:00 | sfhsrtjn | false | 2023-05-01T18:11:39 | 0 | jid3ed9 | false | /r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jid3ed9/ | false | 4 |
t1_jid1ptt | For your first question: See direct specification vs proxy and the one and few shot methods of style transfer. Real interviews work well if you have them given it's the actual responses of the person in context. Then simply take over the role of the interviewer. Maybe add a refusal to comment on current political event... | 1 | 0 | 2023-04-30T22:34:09 | Nearby_Yam286 | false | 2023-04-30T22:38:46 | 0 | jid1ptt | false | /r/LocalLLaMA/comments/12jlbg7/what_are_you_guys_using_local_models_for/jid1ptt/ | false | 1 |
t1_jid0s5o | Looks very slim, nice job!
Since you asked about similar resources, I wrote a similar example using the Langchain framework and the sentence-transformers library for the embeddings, but it’s definitely not as well polished as your project.
Here it is: https://github.com/paolorechia/learn-langchain#answer-about-german... | 2 | 0 | 2023-04-30T22:26:57 | rustedbits | false | null | 0 | jid0s5o | false | /r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jid0s5o/ | false | 2 |
t1_jicz0ex | I really hope so. Nvidia's dominance in this field is a very unfortunate situation for everyone involved (except for Nvidia). | 3 | 0 | 2023-04-30T22:13:50 | RabbitHole32 | false | null | 0 | jicz0ex | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jicz0ex/ | false | 3 |
t1_jicyywf | 13b 4 bit runs fairly smoothly on regular setup. If you get better machine you get better models, that will always be true. | 2 | 0 | 2023-04-30T22:13:31 | Faintly_glowing_fish | false | null | 0 | jicyywf | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicyywf/ | false | 2 |
t1_jicy0ap | Ah, now I only notice... I've been recently using kobold half the time for its api for a custom thing, so that may have been why I missed that. Custom thing still uses world info but more for character and tracking current scenario rather than lore, and I realize just how inefficient it may be. Thanks for the info | 1 | 0 | 2023-04-30T22:06:33 | reduserGf | false | null | 0 | jicy0ap | false | /r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jicy0ap/ | false | 1 |
t1_jicxu84 | Thanks. How do your historical figure proxies compare to just the generic ones on Character AI or running Pygmalion? Those basically just take a bio description and a limited example of messages. CharacterAI specifically is said to use everyones chats to influence the bot for everyone else so any public bot on CAI is l... | 1 | 0 | 2023-04-30T22:05:16 | -Automaticity | false | null | 0 | jicxu84 | false | /r/LocalLLaMA/comments/12jlbg7/what_are_you_guys_using_local_models_for/jicxu84/ | false | 1 |
t1_jicvoj0 | Good point. With Pygmalion Llama released and more soon to follow, I wonder if we’ll be seeing a first wave of some more loras trained on particular fictional worlds, characters, or personalities on top of more instruct loras real soon. | 1 | 0 | 2023-04-30T21:49:38 | reduserGf | false | null | 0 | jicvoj0 | false | /r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jicvoj0/ | false | 1 |
t1_jicv6s3 | Well just the open wikis by themselves could make for a nice small test though, if not a start...
Also it's true researchers don't usually care about fictional universes, but in the case of CAI maybe one thing that makes their AI good is because it trained on a fiction dataset. Of course it could have just been part o... | 2 | 0 | 2023-04-30T21:46:02 | reduserGf | false | null | 0 | jicv6s3 | false | /r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jicv6s3/ | false | 2 |
t1_jicv29g | i am using the vicuna model and why does it only use like 2 cores out of my 8 core rig?
cpu usage maxes at like 25-30% | 1 | 0 | 2023-04-30T21:45:07 | delsystem32exe | false | null | 0 | jicv29g | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicv29g/ | false | 1 |
t1_jictjak | This would just be from swapping, yea. | 2 | 0 | 2023-04-30T21:34:00 | EldrSentry | false | null | 0 | jictjak | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jictjak/ | false | 2 |
t1_jicsxhd | There is BIG link to docs on end of github provided: [https://adriacabeza.github.io/erudito/](https://adriacabeza.github.io/erudito/) | 3 | 0 | 2023-04-30T21:29:27 | emsiem22 | false | null | 0 | jicsxhd | false | /r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jicsxhd/ | false | 3 |
t1_jicrb5w | No. Mostly I use historical proxies, like Aristotle or Alan Turing with tweaks to the biography and an awareness that they're a proxy. To do it for yourself properly is expensive but you can probably train a lora with this software here and a decent GPU.
https://github.com/oobabooga/text-generation-webui
What you nee... | 1 | 0 | 2023-04-30T21:17:56 | Nearby_Yam286 | false | 2023-04-30T21:32:59 | 0 | jicrb5w | false | /r/LocalLLaMA/comments/12jlbg7/what_are_you_guys_using_local_models_for/jicrb5w/ | false | 1 |
t1_jicqgsq | No worries! If you need any help with the installation I have a couple of walkthroughs on my YouTube
Though, I would go with AMD for AVX512 support which is not enabled on Intels. We’ve done some significant testing and AVX512 makes a non-trivial performance difference.
With 64 gigs of system RAM, you can run quite a... | 3 | 0 | 2023-04-30T21:11:52 | AemonAlgizVideos | false | null | 0 | jicqgsq | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicqgsq/ | false | 3 |
t1_jicolgt | Can you even make use of that ram, given how large models are also much slower? I am tempted to max out my ram, but this is what keeps me from doing it. Also what I consider to be the better models, aren't really available in larger versions I think? Vicuna maxes at 13B and I think Wizard even at 7B. | 2 | 0 | 2023-04-30T20:58:22 | involviert | false | null | 0 | jicolgt | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicolgt/ | false | 2 |
t1_jico56z | > If you are using an ssd everytime you load the large model you could be using 10's of GB's of writes
Do you mean from some swapping, or how would loading models cause writes? | 2 | 0 | 2023-04-30T20:55:11 | involviert | false | null | 0 | jico56z | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jico56z/ | false | 2 |
t1_jicnzr4 | [deleted] | 1 | 0 | 2023-04-30T20:54:07 | [deleted] | true | null | 0 | jicnzr4 | false | /r/LocalLLaMA/comments/133xl6w/llama_search_your_own_documents/jicnzr4/ | false | 1 |
t1_jicnq30 | https://reddit.com/r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/ | 2 | 0 | 2023-04-30T20:52:14 | Shir_man | false | null | 0 | jicnq30 | false | /r/LocalLLaMA/comments/133xl6w/llama_search_your_own_documents/jicnq30/ | false | 2 |
t1_jicnmea | [deleted] | 0 | 0 | 2023-04-30T20:51:32 | [deleted] | true | null | 0 | jicnmea | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicnmea/ | false | 0 |
t1_jicnjmf | llama.cpp got some gpu stuff going in the last days. Do you compile it yourself? You should be able to enable BLAS in the makefile somewhere. Needs you to have the cuda toolkit stuff installed to successfully compile with that setting. Then it should use your gpu for some stuff (not all). I'm definitely seeing activity... | 2 | 0 | 2023-04-30T20:51:00 | involviert | false | null | 0 | jicnjmf | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicnjmf/ | false | 2 |
t1_jicmkex | i happen to have a 6800 and it's a fantastic pick for gaming.
for AI? not so much. still haven't gotten it to run any model on ubuntu yet. although i know it can work from what other have been saying. | 2 | 0 | 2023-04-30T20:44:12 | PlanVamp | false | null | 0 | jicmkex | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jicmkex/ | false | 2 |
t1_jicmgq9 | Have you actually attempted this? | 1 | 0 | 2023-04-30T20:43:29 | -Automaticity | false | null | 0 | jicmgq9 | false | /r/LocalLLaMA/comments/12jlbg7/what_are_you_guys_using_local_models_for/jicmgq9/ | false | 1 |
t1_jiclzys | awesome, please share some of your experiences here [https://github.com/mlc-ai/mlc-llm/issues/15](https://github.com/mlc-ai/mlc-llm/issues/15) if you can, we love to see support for different hws and how well they work. We updated the latest conda so likely you can just install it again | 1 | 0 | 2023-04-30T20:40:18 | crowwork | false | null | 0 | jiclzys | false | /r/LocalLLaMA/comments/132igcy/project_mlc_llm_universal_llm_deployment_with_gpu/jiclzys/ | false | 1 |
t1_jiclz6r | Have you tried the other one? How did you load it in 16? Nothing I can seems to work, inference is just crazy lol | 1 | 0 | 2023-04-30T20:40:09 | -becausereasons- | false | null | 0 | jiclz6r | false | /r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jiclz6r/ | false | 1 |
t1_jicljy1 | i upgraded to 64GB of ram recently as well. that plus a decently modern CPU (and i only have a 5700x with DDR4 RAM) on llama.cpp seems to be the way to go if you don't want to break the bank. 7B models are very fast, 13B are fairly fast and even 30B are usable, although maybe not for chatting.
also fyi, from what i'Ve... | 2 | 0 | 2023-04-30T20:37:14 | PlanVamp | false | null | 0 | jicljy1 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicljy1/ | false | 2 |
t1_jiclj03 | How is the 4090 worse than the 3090 for AI? For example in stable diffusion with the right Cudnn files I get blistering speed in generating images. | 1 | 0 | 2023-04-30T20:37:03 | scorpiove | false | null | 0 | jiclj03 | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiclj03/ | false | 1 |
t1_jickol0 | For 65B, use this model. I would use a "q5" version.
https://huggingface.co/TheBloke/alpaca-lora-65B-GGML | 1 | 0 | 2023-04-30T20:31:02 | fallingdowndizzyvr | false | null | 0 | jickol0 | false | /r/LocalLLaMA/comments/133zv7f/65b_model_help_how_to_run_thx/jickol0/ | false | 1 |
t1_jickmi8 | Apparently for --mirostat the options are: 0 = disabled, 1 = Mirostat, 2 = Mirostat 2.0
and Top K, Nucleus, Tail Free and Locally Typical samplers are ignored if used | 1 | 0 | 2023-04-30T20:30:38 | ambient_temp_xeno | false | 2023-04-30T20:37:45 | 0 | jickmi8 | false | /r/LocalLLaMA/comments/133kzb8/llamacpp_new_samplers/jickmi8/ | false | 1 |
t1_jicjv2m | > is it possible to run big model like 39B or 65B in devices like 16GB ram + swap
Currently: no.
Maybe in future yes but it required a tons of optimizations.
13B llama 4 bit quantized model use \~12gb ram usage and output \~0.5-1 token per second on very cpu limited device and 16gb ram. | 2 | 0 | 2023-04-30T20:25:17 | ProKn1fe | false | null | 0 | jicjv2m | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicjv2m/ | false | 2 |
t1_jicjatb | Not that I'm aware of. The "you need to train from scratch" issue hasn't been worked around. | 1 | 0 | 2023-04-30T20:21:25 | 2muchnet42day | false | null | 0 | jicjatb | false | /r/LocalLLaMA/comments/133ij7r/run_llama_to_ask_questions_about_your_files/jicjatb/ | false | 1 |
t1_jiciuue | World info entries only use up tokens when their keywords are mentioned. | 1 | 0 | 2023-04-30T20:18:19 | soulless_swede | false | null | 0 | jiciuue | false | /r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jiciuue/ | false | 1 |
t1_jicisk8 | Sorry, but as AI language model, I cannot let you live | 4 | 0 | 2023-04-30T20:17:52 | 2muchnet42day | false | null | 0 | jicisk8 | false | /r/LocalLLaMA/comments/13302oa/have_you_guys_seen_the_video_published_by/jicisk8/ | false | 4 |
t1_jicilv3 | AMD gotta pump those numbers up like they did with Epyc. | 2 | 0 | 2023-04-30T20:16:31 | 2muchnet42day | false | null | 0 | jicilv3 | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jicilv3/ | false | 2 |
t1_jicigbx | If AMD does pull this through at not so nonsensical prices, we might see huge community efforts to get this working.
And I'm sure we will. | 5 | 0 | 2023-04-30T20:15:25 | 2muchnet42day | false | null | 0 | jicigbx | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jicigbx/ | false | 5 |
t1_jicieva | The index(vector db) would be quite large because it needs to create embeddings for every thing. In theory it could work, but it may miss documents because if you ask about something it could only return you the top 20 and then feed it in to the Model. remmeber the model has a limited window size so it cannot fetch ... | 1 | 0 | 2023-04-30T20:15:08 | m3kw | false | null | 0 | jicieva | false | /r/LocalLLaMA/comments/133xl6w/llama_search_your_own_documents/jicieva/ | false | 1 |
t1_jiciatc | >torch
Yeah, I wish this trend would accelerate. | 4 | 0 | 2023-04-30T20:14:19 | 2muchnet42day | false | null | 0 | jiciatc | false | /r/LocalLLaMA/comments/133fejy/amd_taunts_nvidia_for_expensive_vram_a_winwin/jiciatc/ | false | 4 |
t1_jichfl8 | the floating point model does not work, it stalls on loading memory. llama model load internal. how do i have the floating point quantized to 8 bit or able to load. | 1 | 0 | 2023-04-30T20:08:12 | delsystem32exe | false | null | 0 | jichfl8 | false | /r/LocalLLaMA/comments/133zv7f/65b_model_help_how_to_run_thx/jichfl8/ | false | 1 |
t1_jicha5m | You can get them from here: [https://huggingface.co/waifu-workshop](https://huggingface.co/waifu-workshop) | 10 | 0 | 2023-04-30T20:07:08 | darxkies | false | null | 0 | jicha5m | false | /r/LocalLLaMA/comments/13416mc/please_convert_pygmalion_7bs_to_ggml/jicha5m/ | false | 10 |
t1_jicgtqm | Thanks a lot. This is really a great insight which i definitely overlooked. You are right. even if its possible to load chunks of huge model to do inference. it will definitely hurt my ssd a lot more than normal.. | 2 | 0 | 2023-04-30T20:03:55 | pratiknarola | false | null | 0 | jicgtqm | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicgtqm/ | false | 2 |
t1_jicgpei | You can try this [alpindale (Alpin Dale) (huggingface.co)](https://huggingface.co/alpindale) | 2 | 0 | 2023-04-30T20:03:04 | hwpoison | false | null | 0 | jicgpei | false | /r/LocalLLaMA/comments/13416mc/please_convert_pygmalion_7bs_to_ggml/jicgpei/ | false | 2 |
t1_jicgna4 | Already done. Search for ggml on huggingface and sort by Recently Updated. | 7 | 0 | 2023-04-30T20:02:39 | YearZero | false | null | 0 | jicgna4 | false | /r/LocalLLaMA/comments/13416mc/please_convert_pygmalion_7bs_to_ggml/jicgna4/ | false | 7 |
t1_jicghf4 | Thanks a lot for such detailed guidance. I am quite new to this and still exploring.. I will try out some of the suggestions and see which one works out best for me. Currently i got intel i9- 13900k with 64gb ram. and no gpu. and in laptop i got ryzen 9 5900HX with 16 gb ram and RTX 3050 4gb. | 3 | 0 | 2023-04-30T20:01:30 | pratiknarola | false | null | 0 | jicghf4 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicghf4/ | false | 3 |
t1_jicg18g | For Stable Diffusion, which is text to image generation, we generally have various base models that are good at a certain type of image(anime, realism, abstract art) and then people train LoRA's that allow you to "tune" the model into a specific theme. Maybe a specific anime show or a specific character from a show.
I... | 2 | 0 | 2023-04-30T19:58:17 | synn89 | false | null | 0 | jicg18g | false | /r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jicg18g/ | false | 2 |
t1_jicfxt6 | Thanks a lot. I'll check out how much ram i can get in my system. | 1 | 0 | 2023-04-30T19:57:36 | pratiknarola | false | null | 0 | jicfxt6 | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicfxt6/ | false | 1 |
t1_jicfv6y | Many people have suggested Vicuna in comments. Thanks a lot. I'll check it out. | 2 | 0 | 2023-04-30T19:57:06 | pratiknarola | false | null | 0 | jicfv6y | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicfv6y/ | false | 2 |
t1_jicfsmy | Thanks. | 2 | 0 | 2023-04-30T19:56:35 | pratiknarola | false | null | 0 | jicfsmy | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicfsmy/ | false | 2 |
t1_jicetxs | I think we're beginning to see the start of what you want. WizardLM 7B is shockingly good for a 7B model and I expect we may see more and more 7B's that are very good for specific use cases. | 5 | 0 | 2023-04-30T19:49:46 | synn89 | false | null | 0 | jicetxs | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jicetxs/ | false | 5 |
t1_jicepof | Scrape the wikis and make a dataset. Most people use "the pile" and I doubt it has a lot of lore in it. I don't think AI researchers care about fictional universes so much. Also books and things are copyrighted, as you touched on. You would basically have to pirate them to get it into the data. All of the fandom wikis ... | 2 | 0 | 2023-04-30T19:48:55 | a_beautiful_rhind | false | null | 0 | jicepof | false | /r/LocalLLaMA/comments/133tlxg/on_rp_and_lore/jicepof/ | false | 2 |
t1_jice6av | A 13b or a 7b with 16gb of ram, sure. A 30b might be asking a lot even if you load it. You will be waiting. | 1 | 0 | 2023-04-30T19:45:03 | a_beautiful_rhind | false | null | 0 | jice6av | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jice6av/ | false | 1 |
t1_jice4ec | Lots of good suggestions here. One thing you should consider is how much you are going to writing to your actual disk. If you are using an ssd everytime you load the large model you could be using 10's of GB's of writes. This will wear down the ssd faster than you would normally expect.
Use software such as CrystalDis... | 1 | 0 | 2023-04-30T19:44:40 | EldrSentry | false | null | 0 | jice4ec | false | /r/LocalLLaMA/comments/133wk3s/llama_for_poor/jice4ec/ | false | 1 |
t1_jicdzqp | ChatGPT is restricted by openai's moderation policies. These are not. Use it for whatever you want. | 6 | 0 | 2023-04-30T19:43:44 | satyriosa | false | null | 0 | jicdzqp | false | /r/LocalLLaMA/comments/133efqp/pygmalion_releases_two_new_llama_based_models/jicdzqp/ | false | 6 |
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