初始化项目，由ModelHub XC社区提供模型

Model: afrideva/Dimensity-3B-GGUF
Source: Original Platform

README.md

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+---
+base_model: Dimensity/Dimensity-3B
+inference: false
+language:
+- en
+license: mit
+model_creator: Dimensity
+model_name: Dimensity-3B
+pipeline_tag: text-generation
+quantized_by: afrideva
+tags:
+- sft
+- gguf
+- ggml
+- quantized
+- q2_k
+- q3_k_m
+- q4_k_m
+- q5_k_m
+- q6_k
+- q8_0
+---
+# Dimensity/Dimensity-3B-GGUF
+
+Quantized GGUF model files for [Dimensity-3B](https://huggingface.co/Dimensity/Dimensity-3B) from [Dimensity](https://huggingface.co/Dimensity)
+
+
+| Name | Quant method | Size |
+| ---- | ---- | ---- |
+| [dimensity-3b.fp16.gguf](https://huggingface.co/afrideva/Dimensity-3B-GGUF/resolve/main/dimensity-3b.fp16.gguf) | fp16 | 5.59 GB  |
+| [dimensity-3b.q2_k.gguf](https://huggingface.co/afrideva/Dimensity-3B-GGUF/resolve/main/dimensity-3b.q2_k.gguf) | q2_k | 1.20 GB  |
+| [dimensity-3b.q3_k_m.gguf](https://huggingface.co/afrideva/Dimensity-3B-GGUF/resolve/main/dimensity-3b.q3_k_m.gguf) | q3_k_m | 1.39 GB  |
+| [dimensity-3b.q4_k_m.gguf](https://huggingface.co/afrideva/Dimensity-3B-GGUF/resolve/main/dimensity-3b.q4_k_m.gguf) | q4_k_m | 1.71 GB  |
+| [dimensity-3b.q5_k_m.gguf](https://huggingface.co/afrideva/Dimensity-3B-GGUF/resolve/main/dimensity-3b.q5_k_m.gguf) | q5_k_m | 1.99 GB  |
+| [dimensity-3b.q6_k.gguf](https://huggingface.co/afrideva/Dimensity-3B-GGUF/resolve/main/dimensity-3b.q6_k.gguf) | q6_k | 2.30 GB  |
+| [dimensity-3b.q8_0.gguf](https://huggingface.co/afrideva/Dimensity-3B-GGUF/resolve/main/dimensity-3b.q8_0.gguf) | q8_0 | 2.97 GB  |
+
+
+
+## Original Model Card:
+```Dimensity-3B```
+
+# Model Details
+Dimensity-3B is a finetuned version of the StableLM framework trained on a variety of conversational data. It contains 3 billion parameters.
+
+# Intended Uses
+This model is intended for conversational AI applications. It can engage in open-ended dialogue by generating responses to user prompts.
+
+## Factors
+# Training Data
+The model was trained on a large dataset of over 100 million conversational exchanges extracted from Reddit comments, customer support logs, and other online dialogues.
+
+# Prompt Template
+The model was finetuned using the following prompt template:
+```
+### Human: {prompt} 
+
+### Assistant:
+```
+This prompts the model to take on an assistant role.
+
+# Ethical Considerations
+As the model was trained on public conversational data, it may generate responses that contain harmful stereotypes or toxic content. The model should be used with caution in sensitive contexts.
+
+# Caveats and Recommendations
+This model is designed for open-ended conversation. It may sometimes generate plausible-sounding but incorrect information. Outputs should be validated against external sources.