MaziyarPanahi commited on
Commit
ce7faef
1 Parent(s): 4c5a5f4

84a78764591fa60375b38104ffd6a77c1c09825580a0a40501ae4fe6a8e90627

Browse files
Files changed (3) hide show
  1. .gitattributes +1 -0
  2. MistralNemoTiny-GGUF_imatrix.dat +3 -0
  3. README.md +46 -0
.gitattributes CHANGED
@@ -38,3 +38,4 @@ MistralNemoTiny.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
38
  MistralNemoTiny.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
39
  MistralNemoTiny.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
40
  MistralNemoTiny.fp16.gguf filter=lfs diff=lfs merge=lfs -text
 
 
38
  MistralNemoTiny.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
39
  MistralNemoTiny.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
40
  MistralNemoTiny.fp16.gguf filter=lfs diff=lfs merge=lfs -text
41
+ MistralNemoTiny-GGUF_imatrix.dat filter=lfs diff=lfs merge=lfs -text
MistralNemoTiny-GGUF_imatrix.dat ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6871d9daaacbc69b440a3a05a605677e06ecc28374aa836dfc963805b2b307b5
3
+ size 2116286
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: MistralNemoTiny-GGUF
14
+ base_model: kotyKD/MistralNemoTiny
15
+ inference: false
16
+ model_creator: kotyKD
17
+ pipeline_tag: text-generation
18
+ quantized_by: MaziyarPanahi
19
+ ---
20
+ # [MaziyarPanahi/MistralNemoTiny-GGUF](https://huggingface.co/MaziyarPanahi/MistralNemoTiny-GGUF)
21
+ - Model creator: [kotyKD](https://huggingface.co/kotyKD)
22
+ - Original model: [kotyKD/MistralNemoTiny](https://huggingface.co/kotyKD/MistralNemoTiny)
23
+
24
+ ## Description
25
+ [MaziyarPanahi/MistralNemoTiny-GGUF](https://huggingface.co/MaziyarPanahi/MistralNemoTiny-GGUF) contains GGUF format model files for [kotyKD/MistralNemoTiny](https://huggingface.co/kotyKD/MistralNemoTiny).
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.