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

.gitattributes

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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).

chat_template.jinja

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+{% for message in messages %}
+{% if message['role'] == 'user' %}
+{{ '<|user|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'system' %}
+{{ '<|system|>
+' + message['content'] + eos_token }}
+{% elif message['role'] == 'assistant' %}
+{{ '<|assistant|>
+'  + message['content'] + eos_token }}
+{% endif %}
+{% if loop.last and add_generation_prompt %}
+{{ '<|assistant|>' }}
+{% endif %}
+{% endfor %}

config.json

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+{
+  "activation_function": "gelu_new",
+  "add_cross_attention": false,
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_ctx": 1024,
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": null,
+  "n_layer": 12,
+  "n_positions": 1024,
+  "pad_token_id": null,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "summary_activation": null,
+  "summary_first_dropout": 0.1,
+  "summary_proj_to_labels": true,
+  "summary_type": "cls_index",
+  "summary_use_proj": true,
+  "task_specific_params": {
+    "text-generation": {
+      "do_sample": true,
+      "max_length": 50
+    }
+  },
+  "tie_word_embeddings": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false,
+  "vocab_size": 50257
+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 50256,
+  "eos_token_id": 50256,
+  "transformers_version": "5.0.0"
+}

model.safetensors

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+size 497774208

tokenizer_config.json

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+{
+  "add_prefix_space": false,
+  "backend": "tokenizers",
+  "bos_token": "<|endoftext|>",
+  "eos_token": "<|endoftext|>",
+  "errors": "replace",
+  "is_local": false,
+  "model_max_length": 1024,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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