@@ -145,8 +145,8 @@ Read the [Deep Technical Explanation](docs/arduino-c-codegen.md) for more detail
145145
146146``` kotlin
147147dependencies {
148- implementation(" sk.ainet.core:SKaiNET-lang-core:0.8.2 " )
149- implementation(" sk.ainet.core:SKaiNET-backend-cpu:0.8.2 " )
148+ implementation(" sk.ainet.core:SKaiNET-lang-core:0.8.3 " )
149+ implementation(" sk.ainet.core:SKaiNET-backend-cpu:0.8.3 " )
150150}
151151// Ready to build & run in ~8 minutes
152152```
@@ -171,15 +171,15 @@ dependencyResolutionManagement {
171171
172172dependencies {
173173 // minimal dependency with simple CPU backend
174- implementation(" sk.ainet.core:SKaiNET-lang-core:0.8.2 " )
175- implementation(" sk.ainet.core:SKaiNET-backend-cpu:0.8.2 " )
174+ implementation(" sk.ainet.core:SKaiNET-lang-core:0.8.3 " )
175+ implementation(" sk.ainet.core:SKaiNET-backend-cpu:0.8.3 " )
176176
177177 // simple model zoo
178- implementation(" sk.ainet.core:SKaiNET-lang-models:0.8.2 " )
178+ implementation(" sk.ainet.core:SKaiNET-lang-models:0.8.3 " )
179179
180180 // Optional I/O (e.g., GGUF loader, JSON)
181- implementation(" sk.ainet.core:SKaiNET-io-core:0.8.2 " )
182- implementation(" sk.ainet.core:SKaiNET-io-gguf:0.8.2 " )
181+ implementation(" sk.ainet.core:SKaiNET-io-core:0.8.3 " )
182+ implementation(" sk.ainet.core:SKaiNET-io-gguf:0.8.3 " )
183183}
184184```
185185
@@ -189,7 +189,7 @@ Maven:
189189<dependency >
190190 <groupId >sk.ainet.core</groupId >
191191 <artifactId >SKaiNET-lang-core</artifactId >
192- <version >0.8.2 </version >
192+ <version >0.8.3 </version >
193193</dependency >
194194```
195195
@@ -198,7 +198,7 @@ Maven:
198198- Sample app: https://github.com/SKaiNET-developers/SKaiNET-samples/tree/feature/MNIST/SinusApproximator
199199- Kotlin Notebook: https://github.com/SKaiNET-developers/SKaiNET-notebook
200200
201- ## 0.8.2 highlights (with tiny snippets)
201+ ## 0.8.3 highlights (with tiny snippets)
202202
203203- ** KLlama (Llama 2 port)** : Initial version supporting GGUF models with ` mmap ` for zero-copy loading.
204204- ** Quantization & BitNet** : Support for ` Q8_0 ` , ` Q4_K ` , and BitNet/Ternary (` TQ1_0 ` , ` TQ2_0 ` ) formats.
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