d03815f8c1b03b7fdbf59a6dba5c54761e8aaeb05b1593a13afc4c619322dab2

.gitattributes

@@ -33,3 +33,14 @@ 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
+Deductive-Reasoning-Qwen-32B.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Deductive-Reasoning-Qwen-32B.fp16.gguf filter=lfs diff=lfs merge=lfs -text

Deductive-Reasoning-Qwen-32B.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0578c0a8d2c88f2cce741cef55d136c349a1fc437d5927be6c510c104106438b
+size 5934688

Deductive-Reasoning-Qwen-32B.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2c85005334bc9ea68b7e15d506db3a8e3ff7cc9caf7e4a295a73c1753d7d9037
+size 5934688

Deductive-Reasoning-Qwen-32B.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1d62d04621a9b078546a4b33c53410c6610885e69f531efc0740d4d5fc0ca3e9
+size 5934688

Deductive-Reasoning-Qwen-32B.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8e2799dc7ffd3adf59b99e7b21b9b9627628ddc0836f39badfa040b08d541276
+size 5934688

Deductive-Reasoning-Qwen-32B.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac543421c9625435d920f8380a91e9700b15b55346dbc8b1082ed3040db86b57
+size 5934688

Deductive-Reasoning-Qwen-32B.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b3be99332b6acab93d883821cff397126e9c42fb9d35fe8a44d4b20723967ea3
+size 5934688

Deductive-Reasoning-Qwen-32B.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8db234f9c757ca85a8efcd4d33b46ab0dbb0a386a5ee77ae25b52684eb579f02
+size 5934688

Deductive-Reasoning-Qwen-32B.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:632048f41a6be5a69c75877f85b5aa47989f9c641b7fda5464b029eed5eb4b90
+size 5934688

Deductive-Reasoning-Qwen-32B.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:28c74eb300453dcf5e90403180421bfdbfc84aeedcb17c87273bec574a0d4137
+size 5934688

Deductive-Reasoning-Qwen-32B.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:441273aab36a4dc7998db35a1938035b9fd6751624642bb9bb2e10bcf5474aac
+size 5934688

Deductive-Reasoning-Qwen-32B.fp16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a13b6a1b0936c2436eea21df4bfaaf48037234c245e393afd2d9f7b5e5e637e2
+size 5934688

README.md

@@ -0,0 +1,45 @@
+---
+base_model: OpenPipe/Deductive-Reasoning-Qwen-32B
+inference: false
+model_creator: OpenPipe
+model_name: Deductive-Reasoning-Qwen-32B-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/Deductive-Reasoning-Qwen-32B-GGUF](https://huggingface.co/MaziyarPanahi/Deductive-Reasoning-Qwen-32B-GGUF)
+- Model creator: [OpenPipe](https://huggingface.co/OpenPipe)
+- Original model: [OpenPipe/Deductive-Reasoning-Qwen-32B](https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B)
+
+## Description
+[MaziyarPanahi/Deductive-Reasoning-Qwen-32B-GGUF](https://huggingface.co/MaziyarPanahi/Deductive-Reasoning-Qwen-32B-GGUF) contains GGUF format model files for [OpenPipe/Deductive-Reasoning-Qwen-32B](https://huggingface.co/OpenPipe/Deductive-Reasoning-Qwen-32B).
+
+### 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.