Create README.md

README.md

@@ -0,0 +1,41 @@
+<p><strong><font size="5">Information</font></strong></p>
+GPT4-X-Alpasta-30b working with Oobabooga's Text Generation Webui and KoboldAI.
+<p>This is an attempt at improving Open Assistant's performance as an instruct while retaining its excellent prose. The merge consists of <a href="https://huggingface.co/chansung/gpt4-alpaca-lora-30b">Chansung's GPT4-Alpaca Lora</a> and <a href="https://huggingface.co/OpenAssistant/oasst-sft-6-llama-30b-xor">Open Assistant's native fine-tune</a>.</p>
+<p>There are 3 quantized versions, one is quantized using GPTQ's <i>--true-sequential</i> and <i>--act-order</i> optimizations, the second is quantized using GPTQ's <i>--true-sequential</i> and <i>--groupsize 128</i> optimization, and the third one is quantized for GGML using q4_1</p>
+
+<p><strong>What's included</strong></p>
+
+<P>GPTQ: 2 quantized versions. One quantized --true-sequential and act-order optimizations, and the other was quantized using --true-sequential --groupsize 128 optimizations (coming soon)</P>
+<P>GGML: 3 quantized versions. One quantized q4_1, the second one was quantized using q4_2, and the third one was quantized using q4_3(coming soon)</P> 
+
+<p><strong>GPU/GPTQ Usage</strong></p>
+<p>To use with your GPU using GPTQ pick one of the .safetensors along with all of the .jsons and .model files.</p>
+<p>Oobabooga: If you require further instruction, see <a href="https://github.com/oobabooga/text-generation-webui/blob/main/docs/GPTQ-models-(4-bit-mode).md">here</a> and <a href="https://github.com/oobabooga/text-generation-webui/blob/main/docs/LLaMA-model.md">here</a></p>
+<p>KoboldAI: If you require further instruction, see <a href="https://github.com/0cc4m/KoboldAI">here</a></p>
+
+<p><strong>CPU/GGML Usage</strong></p> 
+<p>To use your CPU using GGML(Llamacpp) you only need the single .bin ggml file.</p>
+<p>Oobabooga: If you require further instruction, see <a href="https://github.com/oobabooga/text-generation-webui/blob/main/docs/llama.cpp-models.md">here</a></p>
+<p>KoboldAI: If you require further instruction, see <a href="https://github.com/LostRuins/koboldcpp">here</a></p>
+
+<p><strong><font size="5">Benchmarks</font></strong></p>
+
+<p><strong><font size="4">--true-sequential --act-order</font></strong></p>
+
+<strong>Wikitext2</strong>: 4.998758792877197
+
+<strong>Ptb-New</strong>: 9.802155494689941
+
+<strong>C4-New</strong>: 7.341384410858154
+
+<strong>Note</strong>: This version does not use <i>--groupsize 128</i>, therefore evaluations are minimally higher. However, this version allows fitting the whole model at full context using only 24GB VRAM.
+
+<p><strong><font size="4">--true-sequential --groupsize 128</font></strong></p>
+
+<strong>Wikitext2</strong>: TBD
+
+<strong>Ptb-New</strong>: TBD
+
+<strong>C4-New</strong>: TBD
+
+<strong>Note</strong>: This version uses <i>--groupsize 128</i>, resulting in better evaluations. However, it consumes more VRAM.