初始化项目，由ModelHub XC社区提供模型

Model: afrideva/TinyAlpaca-v0.1-GGUF
Source: Original Platform

README.md

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+---
+base_model: blueapple8259/TinyAlpaca-v0.1
+datasets:
+- yahma/alpaca-cleaned
+inference: false
+license: mit
+model_creator: blueapple8259
+model_name: TinyAlpaca-v0.1
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+---
+# blueapple8259/TinyAlpaca-v0.1-GGUF
+
+Quantized GGUF model files for [TinyAlpaca-v0.1](https://huggingface.co/blueapple8259/TinyAlpaca-v0.1) from [blueapple8259](https://huggingface.co/blueapple8259)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [tinyalpaca-v0.1.q2_k.gguf](https://huggingface.co/afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q2_k.gguf) | q2_k | 482.14 MB  |
+| [tinyalpaca-v0.1.q3_k_m.gguf](https://huggingface.co/afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q3_k_m.gguf) | q3_k_m | 549.85 MB  |
+| [tinyalpaca-v0.1.q4_k_m.gguf](https://huggingface.co/afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q4_k_m.gguf) | q4_k_m | 667.81 MB  |
+| [tinyalpaca-v0.1.q5_k_m.gguf](https://huggingface.co/afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q5_k_m.gguf) | q5_k_m | 782.04 MB  |
+| [tinyalpaca-v0.1.q6_k.gguf](https://huggingface.co/afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q6_k.gguf) | q6_k | 903.41 MB  |
+| [tinyalpaca-v0.1.q8_0.gguf](https://huggingface.co/afrideva/TinyAlpaca-v0.1-GGUF/resolve/main/tinyalpaca-v0.1.q8_0.gguf) | q8_0 | 1.17 GB  |
+
+
+
+## Original Model Card:
+This model is a [TinyLlama](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-715k-1.5T) model fine-tuned with the [yahma/alpaca-cleaned](https://huggingface.co/datasets/yahma/alpaca-cleaned) dataset.
+
+prompt:
+
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Response:
+```
+```
+Below is an instruction that describes a task. Write a response that appropriately completes the request.
+
+### Instruction:
+{prompt}
+
+### Input:
+{input}
+
+### Response:
+```