初始化项目，由ModelHub XC社区提供模型

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

README.md

@@ -0,0 +1,75 @@
+---
+base_model: Neopix/python-llama-1b
+language:
+- en
+library_name: transformers
+license: apache-2.0
+mradermacher:
+  readme_rev: 1
+quantized_by: mradermacher
+tags:
+- text-generation-inference
+- transformers
+- unsloth
+- llama
+- trl
+---
+## About
+
+<!-- ### quantize_version: 2 -->
+<!-- ### output_tensor_quantised: 1 -->
+<!-- ### convert_type: hf -->
+<!-- ### vocab_type:  -->
+<!-- ### tags:  -->
+static quants of https://huggingface.co/Neopix/python-llama-1b
+
+<!-- provided-files -->
+
+***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#python-llama-1b-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/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q2_K.gguf) | Q2_K | 0.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q3_K_S.gguf) | Q3_K_S | 0.7 |  |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q3_K_M.gguf) | Q3_K_M | 0.8 | lower quality |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q3_K_L.gguf) | Q3_K_L | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.IQ4_XS.gguf) | IQ4_XS | 0.8 |  |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q4_K_S.gguf) | Q4_K_S | 0.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q4_K_M.gguf) | Q4_K_M | 0.9 | fast, recommended |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q5_K_S.gguf) | Q5_K_S | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q5_K_M.gguf) | Q5_K_M | 1.0 |  |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q6_K.gguf) | Q6_K | 1.1 | very good quality |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.Q8_0.gguf) | Q8_0 | 1.4 | fast, best quality |
+| [GGUF](https://huggingface.co/mradermacher/python-llama-1b-GGUF/resolve/main/python-llama-1b.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 -->

python-llama-1b.IQ4_XS.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:afe1b18faa181b1ac0009cf198994d2691628dfc969d80dd7c9d19888b02f83f
+size 748381536

python-llama-1b.Q2_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ac49ccf52d5e80ba3c137bf19cc04572928e1e8f2d0bd93355fbbef8ee226221
+size 580871520

python-llama-1b.Q3_K_L.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e3ba3cf947401fae3e288d380f9c3913cabe1d78ef36139347b0ba61ea3b64b4
+size 732521824

python-llama-1b.Q3_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:217d499fdd28737c71aa0221e3731005783fbcb261f05a44aba9b1ab97f017eb
+size 690840928

python-llama-1b.Q3_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:29c1f1f861531871b7009c2be0013a46dfedfc1c5aff245a63cdaa84695f5d3e
+size 641688928

python-llama-1b.Q4_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:dde371337182e8e4f7d4e35517ff35c53840d0a1cde6e364f5d0e876926da20e
+size 807691616

python-llama-1b.Q4_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:233bd0258ff940b35fa0978368708500ec7255584780ab079f7ca2236f1850e0
+size 775644512

python-llama-1b.Q5_K_M.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:134dac2b6abd3589530c506748e37b790315abbc39c64c2519507607fa09e8af
+size 911500640

python-llama-1b.Q5_K_S.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0193a3a97d0da224481663e54e6e224a2a2bb3f648b78c8281a98d1bcfbd3d2
+size 892560736

python-llama-1b.Q6_K.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e27e5345a1897c68dad56e649f931ed7334eb8b377d9b7c6049d25e054916f85
+size 1021797728

python-llama-1b.Q8_0.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:7e5a6f4ee03ec71e17d52bd5086f34eda8787469439293129eac806180d5a09f
+size 1321080160

python-llama-1b.f16.gguf

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:200fa8f8ab07030a1903ee88ff9d7a3cdbc1969fc055b6328f56c9698860a5f1
+size 2479592800