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Model: jeff31415/TinyLlama-1.1B-1T-OpenOrca
Source: Original Platform

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README.md

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+---
+license: apache-2.0
+datasets:
+- Open-Orca/OpenOrca
+- bigcode/starcoderdata
+- cerebras/SlimPajama-627B
+language:
+- en
+---
+
+[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+
+#### Base model:
+PY007/TinyLlama-1.1B-intermediate-step-480k-1T 
+
+#### Dataset:
+Fine tuned on OpenOrca GPT4 subset for 1 epoch,Using CHATML format
+
+#### Model License:
+Apache 2.0, following the TinyLlama base model.
+
+#### Quantisation:
+ - GPTQ:https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GPTQ
+ - AWQ:https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-AWQ
+ - GGUF:https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF
+
+#### Hardware and training details:
+Hardware: 1*RTX A5000, ~16 hours to complete 1 epoch. GPU from autodl.com, cost around $3 for this finetuning. 
+https://wandb.ai/jeff200402/TinyLlama-Orca?workspace= for more details.

config.json

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+{
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 2048,
+  "initializer_range": 0.02,
+  "intermediate_size": 5632,
+  "max_position_embeddings": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 22,
+  "num_key_value_heads": 4,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.31.0.dev0",
+  "use_cache": true,
+  "vocab_size": 32000
+}

generation_config.json

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+{
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+  "eos_token_id": 2,
+  "pad_token_id": 0,
+  "max_length": 2048,
+  "transformers_version": "4.31.0.dev0"
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "add_bos_token": true,
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+  "padding_side": "right",
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