初始化项目，由ModelHub XC社区提供模型

Model: Josephgflowers/Tinyllama-616M-Cinder
Source: Original Platform

.gitattributes

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README.md

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+---
+license: mit
+---
+I cut my TinyLlama 1.1B cinder v 2 down from 22 layers to 14. At 14 there was no coherent text but there were emerging ideas of a response. 
+I then trained on the Reason with Cinder dataset and prunned the model again to 11 layers and only emerging responses. I then trained on a subset of open orca, sharegpt, cinder again, and tiny textbooks.
+I am putting it up as a base model that may need work. If you continue training please let me know on the tinyllama discord, I have some interesting plans for this model. 
+I use the Zephyr chat format.

config.json

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+{
+  "_name_or_path": "/content/615-tiny-cinder/",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
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+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
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+  "num_hidden_layers": 11,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.40.0.dev0",
+  "unsloth_version": "2024.1",
+  "use_cache": false,
+  "vocab_size": 32000
+}

configuration.json

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+{"framework": "pytorch", "task": "text-generation", "allow_remote": true}

generation_config.json

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+  "eos_token_id": 2,
+  "transformers_version": "4.40.0.dev0",
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+}

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special_tokens_map.json

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tokenizer_config.json

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+}

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