Upload folder using huggingface_hub (#1)

- a62f5092161cc6812ee7bd4bc864f6e06840e8b6c8128c67f6ff46939282d0b1 (88588d64bf2d96b138f95e91191f21994e0889a6)
- d42960e4b0bb5aaf09b644690a844b92920897f387edbe325a5572f2740514d8 (0ea53019d7956b3855387d6a43e9ce46f8f0953a)
- bdaf34d70308a75dca224f293c4c2402fb4628a007352c84a75e966145058379 (ef288786ce219da3ea5b0768b2752ae2111f8b8f)
- b01145d8bc3925501e593675e4cea8646dd2fc0ac74d7f1fb2732000807fc281 (ead17cfcbf5310f346cf1db3c3bb434c63c91f6f)
- 649c267d408bff61cf04f9c8d2f81aabf9bdee9c3f1cc07605bf36d329ef50dc (d73099535f13452c0f340ca6a5ba01d6deb29291)
- 44152ccde8b7b51612357780d963c4e4e02b3e47230a4a728683bdf1256a7316 (c9741b043d4f9f7a14705c53271d9ed19821c778)

.gitattributes

@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-14B-CIC-ACLARC.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-14B-CIC-ACLARC.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-14B-CIC-ACLARC.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-14B-CIC-ACLARC.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-14B-CIC-ACLARC.fp16.gguf filter=lfs diff=lfs merge=lfs -text
+Qwen2.5-14B-CIC-ACLARC-GGUF_imatrix.dat filter=lfs diff=lfs merge=lfs -text

Qwen2.5-14B-CIC-ACLARC-GGUF_imatrix.dat

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1eec61e8d85fa906debdb19c2d27823a78bf3e5f501dce9247bbd8f5a5158405
+size 8563586

Qwen2.5-14B-CIC-ACLARC.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:df083e437d90b1c234893a2c02829a37e1427d6c25ad2913ac2bcea1ac874918
+size 10508874048

Qwen2.5-14B-CIC-ACLARC.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:27ac7a20b3737bc1fc1ea105dbf2cd74292c5da7153df2aab57f1ba023a987cf
+size 10266554688

Qwen2.5-14B-CIC-ACLARC.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:96c64fc5afd62d6c6dbdf1e89584a15183d45e87a0be481c84bc74695852b4e8
+size 12124684608

Qwen2.5-14B-CIC-ACLARC.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1efe20565accb56ebbf5c4fcb137fd82841e70c5eb057c20e1c6d8c24ff9fe6a
+size 15701598528

Qwen2.5-14B-CIC-ACLARC.fp16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1a1a7e7572e7b0a229c691a356a88f6515e43a9062734d287b5bf8505380c8e8
+size 29547716704

README.md

@@ -0,0 +1,45 @@
+---
+base_model: sknow-lab/Qwen2.5-14B-CIC-ACLARC
+inference: false
+model_creator: sknow-lab
+model_name: Qwen2.5-14B-CIC-ACLARC-GGUF
+pipeline_tag: text-generation
+quantized_by: MaziyarPanahi
+tags:
+- quantized
+- 2-bit
+- 3-bit
+- 4-bit
+- 5-bit
+- 6-bit
+- 8-bit
+- GGUF
+- text-generation
+---
+# [MaziyarPanahi/Qwen2.5-14B-CIC-ACLARC-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2.5-14B-CIC-ACLARC-GGUF)
+- Model creator: [sknow-lab](https://huggingface.co/sknow-lab)
+- Original model: [sknow-lab/Qwen2.5-14B-CIC-ACLARC](https://huggingface.co/sknow-lab/Qwen2.5-14B-CIC-ACLARC)
+
+## Description
+[MaziyarPanahi/Qwen2.5-14B-CIC-ACLARC-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2.5-14B-CIC-ACLARC-GGUF) contains GGUF format model files for [sknow-lab/Qwen2.5-14B-CIC-ACLARC](https://huggingface.co/sknow-lab/Qwen2.5-14B-CIC-ACLARC).
+
+### About GGUF
+
+GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
+
+Here is an incomplete list of clients and libraries that are known to support GGUF:
+
+* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
+* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
+* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
+* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
+* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
+* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
+* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
+* [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
+* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
+* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
+
+## Special thanks
+
+🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.