Upload folder using huggingface_hub

#1
.gitattributes CHANGED
@@ -33,3 +33,9 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ Qwen1.5-MoE-A2.7B-Wikihow.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
37
+ Qwen1.5-MoE-A2.7B-Wikihow.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
38
+ Qwen1.5-MoE-A2.7B-Wikihow.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
39
+ Qwen1.5-MoE-A2.7B-Wikihow.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
40
+ Qwen1.5-MoE-A2.7B-Wikihow.fp16.gguf filter=lfs diff=lfs merge=lfs -text
41
+ Qwen1.5-MoE-A2.7B-Wikihow-GGUF_imatrix.dat filter=lfs diff=lfs merge=lfs -text
Qwen1.5-MoE-A2.7B-Wikihow-GGUF_imatrix.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bd37b339b26663915c771f60f7a84db39738c7227013dee01a438fccb7200a23
3
+ size 33827232
Qwen1.5-MoE-A2.7B-Wikihow.Q5_K_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6852ff0bc45343f93224cc646313001c29cd0c2969c5684533caf7f0646da4db
3
+ size 10833532800
Qwen1.5-MoE-A2.7B-Wikihow.Q5_K_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:919a933f892560b335aad2bde39942ebd8c0e637f5d50bff479505dbc15131c6
3
+ size 10159658880
Qwen1.5-MoE-A2.7B-Wikihow.Q6_K.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c45be8e7b292d14bfb647be74bab5c7145d10ed991dd621964222f7689787dc
3
+ size 12765343616
Qwen1.5-MoE-A2.7B-Wikihow.Q8_0.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3741a1bb81dfdddea8a61b4d518b3c2d459a07f827c0b26e5a569e39422cf5e8
3
+ size 15226011520
Qwen1.5-MoE-A2.7B-Wikihow.fp16.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5c7c6011e54430d2d2d2ece58b37393bce9bdd4b3022c63e315bb6d13fe326ea
3
+ size 28644015744
README.md ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow
3
+ inference: false
4
+ model_creator: MaziyarPanahi
5
+ model_name: Qwen1.5-MoE-A2.7B-Wikihow-GGUF
6
+ pipeline_tag: text-generation
7
+ quantized_by: MaziyarPanahi
8
+ tags:
9
+ - quantized
10
+ - 2-bit
11
+ - 3-bit
12
+ - 4-bit
13
+ - 5-bit
14
+ - 6-bit
15
+ - 8-bit
16
+ - GGUF
17
+ - text-generation
18
+ ---
19
+ # [MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow-GGUF](https://huggingface.co/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow-GGUF)
20
+ - Model creator: [MaziyarPanahi](https://huggingface.co/MaziyarPanahi)
21
+ - Original model: [MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow](https://huggingface.co/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow)
22
+
23
+ ## Description
24
+ [MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow-GGUF](https://huggingface.co/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow-GGUF) contains GGUF format model files for [MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow](https://huggingface.co/MaziyarPanahi/Qwen1.5-MoE-A2.7B-Wikihow).
25
+
26
+ ### About GGUF
27
+
28
+ 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.
29
+
30
+ Here is an incomplete list of clients and libraries that are known to support GGUF:
31
+
32
+ * [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
33
+ * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
34
+ * [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.
35
+ * [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.
36
+ * [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.
37
+ * [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
38
+ * [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.
39
+ * [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.
40
+ * [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
41
+ * [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.
42
+
43
+ ## Special thanks
44
+
45
+ 🙏 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.