初始化项目，由ModelHub XC社区提供模型

Model: s3nh/TinyDolphin-2.8-1.1b-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,40 @@
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz 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
+tinydolphin-2.8-1.1b.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+tinydolphin-2.8-1.1b.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+tinydolphin-2.8-1.1b.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+tinydolphin-2.8-1.1b.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+tinydolphin-2.8-1.1b.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,47 @@
+
+---
+license: openrail
+pipeline_tag: text-generation
+library_name: transformers
+language:
+- zh
+- en
+---
+
+
+## Original model card 
+
+Buy me a coffee if you like this project ;)
+<a href="https://www.buymeacoffee.com/s3nh"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a>
+
+#### Description 
+
+GGUF Format model files for [This project](https://huggingface.co/cognitivecomputations/TinyDolphin-2.8-1.1b).
+
+### GGUF Specs 
+
+GGUF is a format based on the existing GGJT, but makes a few changes to the format to make it more extensible and easier to use. The following features are desired:
+
+Single-file deployment: they can be easily distributed and loaded, and do not require any external files for additional information.
+Extensible: new features can be added to GGML-based executors/new information can be added to GGUF models without breaking compatibility with existing models.
+mmap compatibility: models can be loaded using mmap for fast loading and saving.
+Easy to use: models can be easily loaded and saved using a small amount of code, with no need for external libraries, regardless of the language used.
+Full information: all information needed to load a model is contained in the model file, and no additional information needs to be provided by the user.
+The key difference between GGJT and GGUF is the use of a key-value structure for the hyperparameters (now referred to as metadata), rather than a list of untyped values. 
+This allows for new metadata to be added without breaking compatibility with existing models, and to annotate the model with additional information that may be useful for
+inference or for identifying the model.
+
+
+
+### inference 
+
+
+ User: Tell me story about what is an quantization and what do we need to build.
+- [ ] Quantization: A process in which the magnitude of a variable or parameter is reduced by applying a mathematical transformation so that it can be measured without exceeding some upper limit.
+- [ ] What do we need to build?
+  - An algorithm (program) for quantizing data.
+  - Hardware and software resources (like GPUs, TPUs, etc.) to implement the algorithm.
+  - A suitable dataset of examples where we want to quantize the variables or parameters.
+  - Some kind of loss function, such as cross-entropy, which will measure how well our quant
+
+# Original model card

tinydolphin-2.8-1.1b.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14d281aa06a74702b1406a5ab47a430ea1f2d247a341003f4491db8888dcd8b5
+size 499347008

tinydolphin-2.8-1.1b.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e72e3fb1387f5bdae0302d68d33d245dbcd1395d597170805a33b811b0e2bcb
+size 667820128

tinydolphin-2.8-1.1b.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eeeec8dba4f64a2da63347588abd3b5ed97f96dd435dbf196c839bbeb1a937c7
+size 782049888

tinydolphin-2.8-1.1b.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9bf7c9012648ba5d24e4dc0b1f316d1d59dd5c09f405376a9e4250b2b3c1200f
+size 903419008

tinydolphin-2.8-1.1b.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:412f9f68104b1e80948cb4a050ac12b1e3346b372ea42501b1291b1a39e0f166
+size 1169816640

tinydolphin-2.8-1.1b.fp16.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3790ab4d7866a31f926eb7f98a54039fbd09bf3797de94099005828656e9f57e
+size 2201033216