Initial GGML model commit

README.md

@@ -36,8 +36,6 @@ GGML files are for CPU + GPU inference using [llama.cpp](https://github.com/gger
 * [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server.
 * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
 
-None
-
 ## Repositories available
 
 * [GPTQ models for GPU inference, with multiple quantisation parameter options.](https://huggingface.co/TheBloke/Dolphin-Llama-13B-GPTQ)
@@ -167,7 +165,7 @@ After uncensoring, deduping, and cleaning, our dataset consists of:
 - 842,610 instructions of FLANv2 augmented with GPT-4 completions
 - 2,625,353 instructions of FLANv2 augmented with GPT-3.5 completions
 
-We followed the submix and system prompt distribution outlined in the Orca paper. With a few exceptions. We included all 75k of CoT in the FLAN-1m dataset rather than sampling that. Also, we found that many items were duplicated, so we removed duplicates, resulting in 3.5m instructs in the ChatGPT dataset.
+We followed the submix and system prompt distribution outlined in the Orca paper. With a few exceptions. We included all 75k of CoT in the FLAN-1m dataset rather than sampling that. Also, we found that many items were duplicated, so we removed duplicates.
 
 Then we filtered out instances of alignment, refusal, avoidance, and bias, in order to produce an uncensored model upon which can be layered your personalized alignment LoRA.
 
@@ -208,5 +206,7 @@ The core Dolphin Team includes:
 - Special thanks to WingLian, NanoBit, Teknium for helpful advice
 - Special thanks to EdenCoder and chirper.ai for mentorship and financial sponsorship.
 - Special thanks to Kilkonie for his very valued mentorship.
-- Thank you to Catto
+- Thank you to Catto.
+- Thank you to Nicolai Schleifer, financial sponsor.
+- Thank you to Eric Fleming, financial sponsor.
 - Thank you to all the other people in the Open Source AI community who have taught me and helped me along the way.