初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/papaya-1B-instruct-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
+papaya-1B-instruct.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+papaya-1B-instruct.f16.gguf filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,71 @@
+---
+base_model: jusKnows/papaya-1B-instruct
+language:
+- en
+library_name: transformers
+license: apache-2.0
+quantized_by: mradermacher
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+- sft
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/jusKnows/papaya-1B-instruct
+
+<!-- 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/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q2_K.gguf) | Q2_K | 0.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q3_K_S.gguf) | Q3_K_S | 0.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q3_K_L.gguf) | Q3_K_L | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.IQ4_XS.gguf) | IQ4_XS | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q5_K_S.gguf) | Q5_K_S | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q5_K_M.gguf) | Q5_K_M | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q6_K.gguf) | Q6_K | 1.1 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/papaya-1B-instruct-GGUF/resolve/main/papaya-1B-instruct.f16.gguf) | f16 | 2.6 | 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 -->

papaya-1B-instruct.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8132b9c394c2211746c63befbd8a0d03e530828b63ee2abb3e6b8205ec756a9
+size 748380928

papaya-1B-instruct.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ccc52ae7e94129625002925fcb54b893e3de7980d530b2d98704cac5912cc75c
+size 580870912

papaya-1B-instruct.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e8dbf6b9ec219107339f171fee79b2def438714956d87148575063e80f7afd19
+size 732521216

papaya-1B-instruct.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7114d86781ce00955d2d098b9be91d6d6037628b61998e58b48f7ae25e6c0643
+size 690840320

papaya-1B-instruct.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:66e30dc43b949198e8bd1f6ee742d53ca99a431ddcfd6b475756bfeefaa826cc
+size 641688320

papaya-1B-instruct.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fad74fd89b60363da36e359b1effbceb4b0c5635218cb201c46bdf2d90078f9f
+size 807691008

papaya-1B-instruct.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c2ef8453d82dcf7c39336d70b57cc8ca69106edad85eacab6f1ef9a5135d797d
+size 775643904

papaya-1B-instruct.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5c182a9bd99eefa2df5580322375f79b555ec063f2d3be633128ec522e6fa3c3
+size 911500032

papaya-1B-instruct.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:50554f655403841fc29b50d4fb64d9b9af0af25ba9b2ab38fc182f58eff48183
+size 892560128

papaya-1B-instruct.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e38b5f161f551dbcae4308e77008216022f5641b6e5cf14f2898983f8ad99bee
+size 1021797120

papaya-1B-instruct.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dde8227b0e20c77fce6185ba60ca7a6404cf4cef511a667615619c5079c45842
+size 1321079552

papaya-1B-instruct.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a647a61c8b3e673fc3446e4ef5670c6804b82144518a6c74ecb108c451741c98
+size 2479592192