Upload folder using huggingface_hub

#1
.gitattributes CHANGED
@@ -33,3 +33,19 @@ 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
+ Qwen2.5-0.5B-Instruct.IQ1_M.gguf filter=lfs diff=lfs merge=lfs -text
37
+ Qwen2.5-0.5B-Instruct.IQ1_S.gguf filter=lfs diff=lfs merge=lfs -text
38
+ Qwen2.5-0.5B-Instruct.IQ2_XS.gguf filter=lfs diff=lfs merge=lfs -text
39
+ Qwen2.5-0.5B-Instruct.IQ3_XS.gguf filter=lfs diff=lfs merge=lfs -text
40
+ Qwen2.5-0.5B-Instruct.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
41
+ Qwen2.5-0.5B-Instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
42
+ Qwen2.5-0.5B-Instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
43
+ Qwen2.5-0.5B-Instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
44
+ Qwen2.5-0.5B-Instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
45
+ Qwen2.5-0.5B-Instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
46
+ Qwen2.5-0.5B-Instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
47
+ Qwen2.5-0.5B-Instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
48
+ Qwen2.5-0.5B-Instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
49
+ Qwen2.5-0.5B-Instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
50
+ Qwen2.5-0.5B-Instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
51
+ Qwen2.5-0.5B-Instruct.fp16.gguf filter=lfs diff=lfs merge=lfs -text
Qwen2.5-0.5B-Instruct-GGUF_imatrix.dat ADDED
Binary file (989 kB). View file
 
Qwen2.5-0.5B-Instruct.IQ1_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e8a2ad9b8cb4c048e04997afd964630006ec8bddea081f15234154e172189281
3
+ size 317974560
Qwen2.5-0.5B-Instruct.IQ1_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:901047b5ace32d2c139581147fa03d31eaa3ea57424c7e0585775bdcddd07209
3
+ size 315829536
Qwen2.5-0.5B-Instruct.IQ2_XS.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88eecc788a8821326f92383a65196b9d93ff91604cce4909a86b7d1022e1a992
3
+ size 324409632
Qwen2.5-0.5B-Instruct.IQ3_XS.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0ab60486ab6f9c117260bf3cd7f6267e0f849ba24fa18ca4af5c8420a02adfe5
3
+ size 338607648
Qwen2.5-0.5B-Instruct.IQ4_XS.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1ba6761994505291595677b7e022c413040c561713403fab4cf2677347f44119
3
+ size 349402656
Qwen2.5-0.5B-Instruct.Q2_K.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b4b5caaba28dff634c2227b1f54e2e3173482cdc63e6f11a8f4f4103d60ad880
3
+ size 338607648
Qwen2.5-0.5B-Instruct.Q3_K_L.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cd6d6d9660ffbe76c901c6bcf99cf55c0945367f84db8a3e04263d1f59b72dbe
3
+ size 369358368
Qwen2.5-0.5B-Instruct.Q3_K_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ac9ea6bdb68b36b5464719c5a77ec3cca105433030418d190ae68f601a4aef5a
3
+ size 355466784
Qwen2.5-0.5B-Instruct.Q3_K_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e970027181fede425b006456fa3437929e0facf9f74dd73edd244ea5601873b4
3
+ size 338263584
Qwen2.5-0.5B-Instruct.Q4_K_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:990c47dc42044eaf1fe28a1e97074de9fcad67bdc4ee37b82544c706e71b208e
3
+ size 397808160
Qwen2.5-0.5B-Instruct.Q4_K_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aed2b1954af8972c9b2bd4eafe1f7992c34505aac1e977f524231ea9952dbfeb
3
+ size 385472032
Qwen2.5-0.5B-Instruct.Q5_K_M.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b161e15b9f317b3a8a0ba85ec8d0871720e0d564509a8b0e051918a855d14f8f
3
+ size 420086304
Qwen2.5-0.5B-Instruct.Q5_K_S.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5900205c7a987f2e3cb82bb7dcf563782360c015108f8b876161512a78725bff
3
+ size 412710432
Qwen2.5-0.5B-Instruct.Q6_K.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:63d6cea0b2cc93dcffcb1841d5052a4f0f3066858dd1aa4972c072652367c898
3
+ size 505736736
Qwen2.5-0.5B-Instruct.Q8_0.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:fbffd3ba7cf2dc9ab3cf6b3de879066ee863e6efda6c0f2e50addeb2a7a607b3
3
+ size 531068448
Qwen2.5-0.5B-Instruct.fp16.gguf ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:57694c8511865ec322095d4585d7c1aa79567ad3bda008f29505079208031850
3
+ size 994156864
README.md ADDED
@@ -0,0 +1,46 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - quantized
4
+ - 2-bit
5
+ - 3-bit
6
+ - 4-bit
7
+ - 5-bit
8
+ - 6-bit
9
+ - 8-bit
10
+ - GGUF
11
+ - text-generation
12
+ - text-generation
13
+ model_name: Qwen2.5-0.5B-Instruct-GGUF
14
+ base_model: Qwen/Qwen2.5-0.5B-Instruct
15
+ inference: false
16
+ model_creator: Qwen
17
+ pipeline_tag: text-generation
18
+ quantized_by: MaziyarPanahi
19
+ ---
20
+ # [MaziyarPanahi/Qwen2.5-0.5B-Instruct-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2.5-0.5B-Instruct-GGUF)
21
+ - Model creator: [Qwen](https://huggingface.co/Qwen)
22
+ - Original model: [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct)
23
+
24
+ ## Description
25
+ [MaziyarPanahi/Qwen2.5-0.5B-Instruct-GGUF](https://huggingface.co/MaziyarPanahi/Qwen2.5-0.5B-Instruct-GGUF) contains GGUF format model files for [Qwen/Qwen2.5-0.5B-Instruct](https://huggingface.co/Qwen/Qwen2.5-0.5B-Instruct).
26
+
27
+ ### About GGUF
28
+
29
+ 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.
30
+
31
+ Here is an incomplete list of clients and libraries that are known to support GGUF:
32
+
33
+ * [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
34
+ * [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
35
+ * [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.
36
+ * [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.
37
+ * [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.
38
+ * [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
39
+ * [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.
40
+ * [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.
41
+ * [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
42
+ * [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.
43
+
44
+ ## Special thanks
45
+
46
+ 🙏 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.