The CTREE is built from the optimized microcode (maturity at CMAT_FINAL
), it represents an AST-like tree with C statements and expressions. It can be printed as C code.
Discover gists
import { useSyncExternalStore } from "react"; | |
// For more on the useSyncExternalStore hook, see https://react.dev/reference/react/useSyncExternalStore | |
// The code is almost identical to the source code of zustand, without types and some features stripped out. | |
// Check the links to see the references in the source code. | |
// The links are referencing the v5 of the library. If you plan on reading the source code yourself v5 is the best way to start. | |
// The current v4 version contains lot of deprecated code and extra stuff that makes it hard to reason about if you're new to this. | |
// https://github.com/pmndrs/zustand/blob/fe47d3e6c6671dbfb9856fda52cb5a3a855d97a6/src/vanilla.ts#L57-L94 | |
function createStore(createState) { |
Good question! I am collecting human data on how quantization affects outputs. See here for more information: ggerganov/llama.cpp#5962
In the meantime, use the largest that fully fits in your GPU. If you can comfortably fit Q4_K_S, try using a model with more parameters.
See the wiki upstream: https://github.com/ggerganov/llama.cpp/wiki/Feature-matrix
- Request access to one of the llama2 model repositories from Meta's HuggingFace organization, for example the
Llama-2-13b-chat-hf
. - Generate a HuggingFace read-only access token from your user profile settings page.
- Setup a Python 3.10 enviornment with the following dependencies installed:
transformers, huggingface_hub
. - Run the following code to download and load the model in HuggingFace
transformers
:
TOKEN = # copy-paste your HuggingFace access token here
### Option 1
This doc has been replaced by the official Ordinals Handbook - https://docs.ordinals.com/guides/collecting/sparrow-wallet.html
class MainActivity : ComponentActivity() { | |
override fun onCreate(savedInstanceState: Bundle?) { | |
WindowCompat.setDecorFitsSystemWindows(window, false) | |
super.onCreate(savedInstanceState) | |
setContent { | |
RubberBandSliderTheme { | |
Surface(modifier = Modifier.fillMaxSize(), color = MaterialTheme.colorScheme.background) { | |
Box(contentAlignment = Alignment.Center) { | |
RubberBandSlider(modifier = Modifier | |
.height(200.dp) |
This is a high level, non-exhaustive overview on how to migrate your mod from to 1.20.4 from 1.20.5. This does not look at any specific mod loader, just the changes to the vanilla classes.
This primer is licensed under the Creative Commons Attribution 4.0 International, so feel free to use it as a reference and leave a link so that other readers can consume the primer.
If there's any incorrect or missing information, please leave a comment below. Thanks!
NVIDIA Driver Version: 522.25 CUDA Version: 11.8 | |
Credit: blazer | |
For benchmarking the card and allowing me to release the benchmarks here | |
The hashcat installation used includes a change to the tuning ALIAS.hctune file to include the RTX 4090 as "ALIAS_nv_sm50_or_higher". | |
The "Kernel exec timeout" warning is cosmetic and does not affect the speed of any of the benchmarked modes. | |
Benchmark was run at stock clocks on an Asus Strix 4090. | |
#define エスティーディー std | |
#define アイオーストリーム <iostream> | |
#define ユージング using | |
#define イフ if | |
#define インクルード #include | |
#define イント int | |
#define シーアウト cout | |
#define シーイン cin | |
#define ネームスペース namespace | |
#define ブール bool |
// C++ 11 way, thread-safe version, guaranteed to be destroyed. | |
// For further details, see §6.7 [stmt.dcl] p4 of C++ 11 standard | |
class Singleton | |
{ | |
public: | |
static Singleton& instance(); | |
Singleton(Singleton const&) = delete; // Don't forget to disable copy | |
void operator=(Singleton const&) = delete; // Don't forget to disable copy |