Text Generation
Transformers
English
mistral
text-generation-inference
unsloth
trl
sft
Not-For-All-Audiences
conversational
Inference Endpoints
mpasila commited on
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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ license: apache-2.0
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+ tags:
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+ - text-generation-inference
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+ - transformers
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+ - unsloth
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+ - mistral
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+ - trl
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+ - sft
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+ base_model: unsloth/mistral-7b-v0.2-bnb-4bit
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+ datasets:
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+ - mpasila/PIPPA-ShareGPT-formatted-named
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+ - KaraKaraWitch/PIPPA-ShareGPT-formatted
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+ ---
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+ This is a merge of [mpasila/PIPPA-Named-LoRA-7B](https://huggingface.co/mpasila/PIPPA-Named-LoRA-7B/).
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+
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+ LoRA trained in 4-bit with 8k context using [alpindale/Mistral-7B-v0.2-hf](https://huggingface.co/alpindale/Mistral-7B-v0.2-hf/) as the base model for 1 epoch.
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+
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+ Dataset used is [a modified](https://huggingface.co/datasets/mpasila/PIPPA-ShareGPT-formatted-named) version of [KaraKaraWitch/PIPPA-ShareGPT-formatted](https://huggingface.co/datasets/KaraKaraWitch/PIPPA-ShareGPT-formatted).
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+
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+ ### Prompt format: ChatML
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+
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+ # Uploaded model
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+
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+ - **Developed by:** mpasila
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+ - **License:** apache-2.0
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+ - **Finetuned from model :** unsloth/mistral-7b-v0.2-bnb-4bit
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+
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+ This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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+
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+ [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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+ "architectures": [
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+ "MistralForCausalLM"
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+ ],
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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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+ "initializer_range": 0.02,
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+ "intermediate_size": 14336,
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+ "max_position_embeddings": 32768,
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+ "model_type": "mistral",
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+ "num_attention_heads": 32,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "pad_token_id": 0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.39.3",
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+ "unsloth_version": "2024.4",
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+ "use_cache": true,
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+ "vocab_size": 32000
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+ }
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+ "chat_template": "{% for message in messages %}{% if message['from'] == 'human' %}{{'<|im_start|>user\n' + message['value'] + '<|im_end|>\n'}}{% elif message['from'] == 'gpt' %}{{'<|im_start|>assistant\n' + message['value'] + '<|im_end|>\n' }}{% else %}{{ '<|im_start|>system\n' + message['value'] + '<|im_end|>\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
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