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Model: qikp/hummingbird-2.6-110m
Source: Original Platform

.gitattributes

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README.md

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+---
+license: apache-2.0
+datasets:
+- qikp/sillychat
+language:
+- en
+base_model:
+- cerebras/Cerebras-GPT-111M
+pipeline_tag: text-generation
+library_name: transformers
+new_version: qikp/hummingbird-2.7-110m
+---
+
+# Hummingbird
+
+🎉 You are looking at Hummingbird 2.6, which uses different and slightly better datasets!
+
+Hummingbird is a Cerebras-GPT derivative trained to be conversational.
+
+## Training
+
+The model was trained using 500 steps, and 4 batch size.
+
+### Datasets
+
+The training corpus is made up of a collated [qikp/sillychat](https://huggingface.co/datasets/qikp/sillychat) to be multi-turn.
+
+### 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 benchmarked 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",
+  "add_cross_attention": false,
+  "architectures": [
+    "GPT2LMHeadModel"
+  ],
+  "attn_pdrop": 0.0,
+  "bos_token_id": 50256,
+  "dtype": "float32",
+  "embd_pdrop": 0.0,
+  "eos_token_id": 50256,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "model_type": "gpt2",
+  "n_embd": 768,
+  "n_head": 12,
+  "n_inner": 3072,
+  "n_layer": 10,
+  "n_positions": 2048,
+  "pad_token_id": null,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.0,
+  "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,
+  "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,
+  "eos_token_id": 50256,
+  "transformers_version": "5.0.0"
+}

model.safetensors

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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": 1000000000000000019884624838656,
+  "pad_token": "<|endoftext|>",
+  "tokenizer_class": "GPT2Tokenizer",
+  "unk_token": "<|endoftext|>"
+}

training_args.bin

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