初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/Vi-Qwen2-1.5B-RAG-GGUF
Source: Original Platform

.gitattributes

@@ -0,0 +1,47 @@
+*.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
+Vi-Qwen2-1.5B-RAG.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+Vi-Qwen2-1.5B-RAG.f16.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,67 @@
+---
+base_model: AITeamVN/Vi-Qwen2-1.5B-RAG
+language:
+- vi
+library_name: transformers
+license: apache-2.0
+quantized_by: mradermacher
+tags:
+- retrieval-augmented-generation
+- text-generation-inference
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/AITeamVN/Vi-Qwen2-1.5B-RAG
+
+<!-- provided-files -->
+weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
+## Usage
+
+If you are unsure how to use GGUF files, refer to one of [TheBloke's
+READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for
+more details, including on how to concatenate multi-part files.
+
+## Provided Quants
+
+(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
+
+| Link | Type | Size/GB | Notes |
+|:-----|:-----|--------:|:------|
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q2_K.gguf) | Q2_K | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q3_K_S.gguf) | Q3_K_S | 0.9 |  |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q3_K_M.gguf) | Q3_K_M | 0.9 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q3_K_L.gguf) | Q3_K_L | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.IQ4_XS.gguf) | IQ4_XS | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q4_K_S.gguf) | Q4_K_S | 1.0 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q4_K_M.gguf) | Q4_K_M | 1.1 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q5_K_S.gguf) | Q5_K_S | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q5_K_M.gguf) | Q5_K_M | 1.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q6_K.gguf) | Q6_K | 1.4 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.Q8_0.gguf) | Q8_0 | 1.7 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/Vi-Qwen2-1.5B-RAG-GGUF/resolve/main/Vi-Qwen2-1.5B-RAG.f16.gguf) | f16 | 3.2 | 16 bpw, overkill |
+
+Here is a handy graph by ikawrakow comparing some lower-quality quant
+types (lower is better):
+
+![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)
+
+And here are Artefact2's thoughts on the matter:
+https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9
+
+## FAQ / Model Request
+
+See https://huggingface.co/mradermacher/model_requests for some answers to
+questions you might have and/or if you want some other model quantized.
+
+## Thanks
+
+I thank my company, [nethype GmbH](https://www.nethype.de/), for letting
+me use its servers and providing upgrades to my workstation to enable
+this work in my free time.
+
+<!-- end -->

Vi-Qwen2-1.5B-RAG.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:14b89d8a0c5261954c447746b445cc96ea32aa3b15cf739c43d6e2b810dcf521
+size 902181472

Vi-Qwen2-1.5B-RAG.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50ff8e71ee615d7a839bbea8f5ff6b5443c84f229872398ed317d75ffa75d311
+size 676303456

Vi-Qwen2-1.5B-RAG.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a94a87ce432f6c14119214076fb5be01a4eda7577ab14ea45084b6710e2a2c58
+size 880161376

Vi-Qwen2-1.5B-RAG.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e962042ddbc78dce535c1f7427b4ac53ba0721e859fa261314fcd6752221890c
+size 824177248

Vi-Qwen2-1.5B-RAG.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a39b1e9c53aa2deb475ebb4e3d97e3f83e99db65d72fded8f81ad6b8b61d9da
+size 760943200

Vi-Qwen2-1.5B-RAG.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:935380ac5eb44f4c96e9901b1d72fe243691a2b8a2bca37611642ff34327add1
+size 986047072

Vi-Qwen2-1.5B-RAG.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2bc61de43de942409df3328f7ade1b5c376aec6c01ac6978f0266b92cc582b07
+size 940311136

Vi-Qwen2-1.5B-RAG.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1b3b506cb37dda356296fcbd59b60f3419048c9a99c1085dbc9e6074eebb9bc9
+size 1125048928

Vi-Qwen2-1.5B-RAG.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f95c2f6872059c681c63fb233dfae6f2e88b58542a80b5e075bc4aa8e7b0e9e1
+size 1098728032

Vi-Qwen2-1.5B-RAG.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:91c65c5088e25b35d23b61b00aa9622a94e8b87c1a854017c123ddb0968bb39e
+size 1272738400

Vi-Qwen2-1.5B-RAG.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c9a8d8a302caa89140593560661fd0dffb270aa6ed92c1a08837be9c28e59cca
+size 1646571616

Vi-Qwen2-1.5B-RAG.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b45badb6964e70096ec66661d9dd52aec70bb60afacb3d70bc4a7b81c79b7a2b
+size 3093667936