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Model: jondurbin/airoboros-7b
Source: Original Platform

.gitattributes

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README.md

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+---
+license: cc-by-nc-4.0
+---
+
+# Overview
+
+This is a fine-tuned 7b parameter LlaMa model, using completely synthetic training data created by https://github.com/jondurbin/airoboros
+
+__*I don't recommend using this model! The outputs aren't particularly great, and it may contain "harmful" data due to jailbreak*__
+
+Please see one of the updated airoboros models for a much better experience.
+
+### Training data
+
+This was an experiment to see if a "jailbreak" prompt could be used to generate a broader range of data that would otherwise have been filtered by OpenAI's alignment efforts.
+
+The jailbreak did indeed work with a high success rate, and caused OpenAI to generate a broader range of topics and fewer refusals to answer questions/instructions of sensitive topics.
+
+### Usage and License Notices
+
+All airoboros models and datasets are intended and licensed for research use only.  I've used the 'cc-nc-4.0' license, but really it is subject to a custom/special license because:
+
+- the base model is LLaMa, which has it's own special research license
+- the dataset(s) were generated with OpenAI (gpt-4 and/or gpt-3.5-turbo), which has a clausing saying the data can't be used to create models to compete with openai
+
+So, to reiterate: this model (and datasets) cannot be used commercially.

config.json

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+{
+  "_name_or_path": "/workspace/airoboros-7b/checkpoint-225",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "max_sequence_length": 2048,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "pad_token_id": 0,
+  "rms_norm_eps": 1e-06,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.28.1",
+  "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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+  "bos_token_id": 1,
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+  "pad_token_id": 0,
+  "transformers_version": "4.28.1"
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special_tokens_map.json

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tokenizer_config.json

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