初始化项目，由ModelHub XC社区提供模型

Model: mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-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
+NanoLlama-GQA-L10-A32_KV8-v13-KI.IQ4_XS.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q2_K.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_L.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q4_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q5_K_M.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q5_K_S.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q6_K.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
+NanoLlama-GQA-L10-A32_KV8-v13-KI.f16.gguf filter=lfs diff=lfs merge=lfs -text

NanoLlama-GQA-L10-A32_KV8-v13-KI.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4840a47d9817dbe87145604fa0bf0c77ef244b9332bd086a9b9baba7fc598916
+size 127123072

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ee5745af38d9e45b04bed067e5e83241d5a90d8ca122f7d1cdc9299406b86744
+size 94430848

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:92255455d250b453dc8cff2c37468c692d7428aa062404791725da4c1d20187f
+size 121467520

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7bd1a4c7265999eeb0ef5d23f82b095b9439fd244cb1dc8966776fdfeef0bf0f
+size 114651776

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:34d698900c92c57690816ffc7f0f47228424bd635181185ab6d31832ba2f0c41
+size 107274880

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f53bdcb11e70b7f389001d31388a01e7f6b909ff43775a5ab92913b1f609428e
+size 137582208

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:82428acb33e8e717c68f06fd7e6413ab416286b5791ee0054e4fc54de3e7fe6a
+size 132492928

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:95e7ffa07bc202ffaefbe9d7c2657651fea1943691d2d007a7d7180a524bc8ea
+size 157914752

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:58794bae53aaf1e916b9e7c7c2ee88e22d8d69e139d5fe22e3bdffb2f42d77f1
+size 154955392

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:800521ed0cc51aae218d23effbdce5d5881e2c08a46f26efcb8336dccdf3ec83
+size 179518080

NanoLlama-GQA-L10-A32_KV8-v13-KI.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b9d4072012cd03b0e98fd38937782a96416ecdc02142263cb0d7583900ac124
+size 232276608

NanoLlama-GQA-L10-A32_KV8-v13-KI.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a0bfcccc9523bb2e2ec3bc5f93446643c68d897cd8003cf1c87334dd4b2bcd97
+size 436503168

README.md

@@ -0,0 +1,73 @@
+---
+base_model: BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- generated_from_trainer
+- smol_llama
+- llama2
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/BEE-spoke-data/NanoLlama-GQA-L10-A32_KV8-v13-KI
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF).***
+
+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/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q2_K.gguf) | Q2_K | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_S.gguf) | Q3_K_S | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_M.gguf) | Q3_K_M | 0.2 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q3_K_L.gguf) | Q3_K_L | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.IQ4_XS.gguf) | IQ4_XS | 0.2 |  |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q4_K_S.gguf) | Q4_K_S | 0.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q4_K_M.gguf) | Q4_K_M | 0.2 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q5_K_S.gguf) | Q5_K_S | 0.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q5_K_M.gguf) | Q5_K_M | 0.3 |  |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q6_K.gguf) | Q6_K | 0.3 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.Q8_0.gguf) | Q8_0 | 0.3 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/NanoLlama-GQA-L10-A32_KV8-v13-KI-GGUF/resolve/main/NanoLlama-GQA-L10-A32_KV8-v13-KI.f16.gguf) | f16 | 0.5 | 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 -->