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README.md ADDED
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+ ---
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+ inference: false
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+ language:
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+ - en
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+ library_name: transformers
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+ pipeline_tag: text-generation
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+ tags:
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+ - llama
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+ datasets:
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+ - LDJnr/Capybara
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+ - jondurbin/airoboros-3.2
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+ - unalignment/toxic-dpo-v0.1
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+ - LDJnr/Verified-Camel
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+ - HuggingFaceH4/no_robots
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+ - Doctor-Shotgun/no-robots-sharegpt
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+ - Doctor-Shotgun/capybara-sharegpt
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+ ---
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+
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+ # Norobara-ZLoss-8x7B
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+
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+ This is an instruct-tuned [TinyLlama-1.1B-32k](https://huggingface.co/Doctor-Shotgun/TinyLlama-1.1B-32k) on several open-source instruct datasets, intended primarily for speculative decoding.
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+
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+ ## Usage:
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+ The intended prompt format is a modified multi-turn Alpaca instruction format:
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+ ```
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+ ### Instruction:
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+ {system prompt}
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+
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+ ### Input:
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+ {user message}
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+
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+ ### Response:
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+ {model response}
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+
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+ ### Input:
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+ {user message}
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+
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+ ### Response:
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+ {model response}
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+
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+ (etc.)
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+ ```
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+
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+ ## Bias, Risks, and Limitations
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+ The model will show biases present in the base model. No ethical alignment was applied to prevent the generation of toxic or harmful outputs (in fact the opposite, with examples from toxic-DPO included), so generate at your own risk.
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+ ## Training Details
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+ This model was trained as a full finetune for 3 epochs using a single A100 GPU for around 3.5 hours.
config.json ADDED
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+ {
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+ "_name_or_path": "TinyLlama-1.1B-32k-Instruct",
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+ "architectures": [
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+ "LlamaForCausalLM"
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+ ],
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+ "attention_bias": false,
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+ "attention_dropout": 0.0,
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "hidden_act": "silu",
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+ "hidden_size": 2048,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 5632,
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+ "max_position_embeddings": 32768,
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+ "model_type": "llama",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 22,
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+ "num_key_value_heads": 4,
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+ "pretraining_tp": 1,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.37.0.dev0",
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+ "use_cache": false,
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+ "vocab_size": 32000
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+ }
generation_config.json ADDED
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+ {
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+ "bos_token_id": 1,
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+ "eos_token_id": 2,
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+ "max_length": 2048,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.37.0.dev0"
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+ }
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+ "eos_token": {
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+ "single_word": false
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+ }
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+ }
tokenizer.json ADDED
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tokenizer.model ADDED
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tokenizer_config.json ADDED
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+ {
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+ "add_bos_token": true,
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+ "add_eos_token": false,
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+ "added_tokens_decoder": {
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+ "0": {
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+ "content": "<unk>",
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+ "lstrip": false,
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+ "normalized": false,
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+ "1": {
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+ },
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": false,
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+ "legacy": false,
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+ "model_max_length": 1000000000000000019884624838656,
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+ "pad_token": "</s>",
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+ "padding_side": "right",
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+ "sp_model_kwargs": {},
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+ "spaces_between_special_tokens": false,
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+ "tokenizer_class": "LlamaTokenizer",
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+ "trust_remote_code": false,
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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false,
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+ "chat_template": "{{ bos_token }}{% if bos_token|length > 0 %}{{ '\n' }}{% endif %}{% if messages[0]['role'] != 'system' %}{{ '### Instruction:\nYou are an unbiased, uncensored, helpful assistant.' }}{% endif %}{% for message in messages %}{% if message['role'] == 'system' %}{{ '### Instruction:\n' + message['content'] }}{% elif message['role'] == 'user' %}{{ '\n\n### Input:\n' + message['content'] }}{% elif message['role'] == 'assistant' %}{{ '\n\n### Response:\n' + message['content'] + eos_token }}{% else %}{{ raise_exception('Only user, assistant, and system roles are supported!') }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '\n\n### Response:\n' }}{% endif %}",
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+ "use_fast": true
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+ }