初始化项目，由ModelHub XC社区提供模型

Model: qikp/hummingbird-2-125m
Source: Original Platform

README.md

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+---
+license: mit
+datasets:
+- qikp/reborn-5k-no-thoughts
+- HuggingFaceTB/smol-smoltalk
+- HuggingFaceTB/everyday-conversations-llama3.1-2k
+language:
+- en
+base_model:
+- openai-community/gpt2
+pipeline_tag: text-generation
+library_name: transformers
+new_version: qikp/hummingbird-2.1-110m
+---
+
+# Hummingbird
+
+🎉 You are looking at Hummingbird 2, trained on a much more efficient corpus, achieving similar performance with 3x less parameters!
+
+Hummingbird is a GPT-2 derivative trained to be conversational.
+
+## Training
+
+The model was trained using the `paged_adamw_8bit` optimizer, gradient checkpointing, 500 steps, 1 batch size, and 4 gradient accumulation steps.
+
+### Datasets
+
+The training corpus is made up of:
+
+- First 1400 rows of [qikp/reborn-5k-no-thoughts](https://huggingface.co/datasets/qikp/reborn-5k-no-thoughts)
+- First 500 rows of [HuggingFaceTB/smol-smoltalk](https://huggingface.co/datasets/HuggingFaceTB/smol-smoltalk)
+- First 100 rows of [HuggingFaceTB/everyday-conversations-llama3.1-2k](https://huggingface.co/datasets/HuggingFaceTB/everyday-conversations-llama3.1-2k)
+
+The `train` / `train_sft` splits were used.
+
+### Chat template
+
+The Zephyr chat template was used.
+
+## Limitations
+
+The model frequently outputs incorrect information, confirmation with a larger, mature model is advised.
+
+## Benchmark
+
+This model was tested against GAIA and compared using embeddings. See the results [here](https://codeberg.org/qikp/benchmarks).