DreamGenX
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Parent(s):
dreamgen/opus-v0-7b
Browse files- .gitattributes +35 -0
- README.md +85 -0
- config.json +25 -0
- generation_config.json +6 -0
- pytorch_model-00001-of-00002.bin +3 -0
- pytorch_model-00002-of-00002.bin +3 -0
- pytorch_model.bin.index.json +298 -0
- special_tokens_map.json +24 -0
- tokenizer.model +3 -0
- tokenizer_config.json +44 -0
.gitattributes
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language:
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- en
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pipeline_tag: text-generation
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---
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# DreamGen Opus V0 7B
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**DreamGen Opus** is a family of **uncensored** models fine-tuned for **(steerable) story writing** and the model also works great for **chat / RP**.
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The DreamGen Opus V0 7B model is derived from [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
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**WARNING** Quantized versions manifest significant performance degradation compared to the original:
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- AWQ: [dreamgen/opus-v0-7b-awq](https://huggingface.co/dreamgen/opus-v0-7b-awq)
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- GGUF: [TheBloke/opus-v0-7b-gguf](https://huggingface.co/TheBloke/opus-v0-7B-GGUF)
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- ELX2: [bartowski/opus-v0-7b-exl2](https://huggingface.co/bartowski/opus-v0-7b-exl2)
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Other sizes:
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- 70B: [dreamgen/opus-v0-70b](https://huggingface.co/dreamgen/opus-v0-70b)
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You can **try the Opus V0 70B** (AWQ) model for free on [dreamgen.com](https://dreamgen.com).
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## Prompting
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Please see the [official documentation](https://dreamgen.com/docs/stories) for more detailed guide, including how to prompt the model for chat / RP.
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The (collaborative / steerable) story writing task teaches the model to respect `<setting>` and `<instruction>` inserted into the prompt.
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Example prompt:
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```
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<setting>
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(Setting provides general overview of the story and characters)
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This story is a twist on the traditional Little Red Riding Hood story.
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In this variation, the Little Red Riding Hood and her grandma are secretely werevoles.
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</setting>
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(Previous part of the story, potentially empty)
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<instruction>
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(Setting tells the model what should happen in the next few sentences / paragraphs)
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The Little Red Riding hood confronts The Big Bad Wolf, transforming into her wolf form.
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</instruction>
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```
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## Dataset
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The fine-tuning dataset consisted of >1M tokens of collaborative writing task examples, each example being up to 4096 tokens. On top of that, >20M tokens of more general, but less instructed examples were included to help preserve generalization.
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All prose in the dataset is from actual humans, not AI generated.
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## Community
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Join the DreamGen community on [**Discord**](https://dreamgen.com/discord), or follow our [**X/Twitter account**](https://dreamgen.com/twitter) for new model releases and other news.
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We will soon be releasing models with longer context window, as well as models specifically fine-tuned for character chat & roleplay.
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Help us shape the future of DreamGen.
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## Running the model
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The model is should be compatible with any software that supports [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1).
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### Running on DreamGen.com (free)
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You can try the model for free at [dreamgen.com](https://dreamgen.com) — note that an account is required.
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### Running with vLLM
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1. Install [vLLM](https://github.com/vllm-project/vllm) (version at least 0.2.1.post1)
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2. Run `python -u -m vllm.entrypoints.openai.api_server --host 0.0.0.0 --model dreamgen/opus-v0-7b`
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3. Use any library that's compatible with the OpenAI API to talk to the model
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### Running with oobabooga/text-generation-webui
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1. Install [oobabooga/text-generation-webui](https://github.com/oobabooga/text-generation-webui)
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2. Go to the **Model** tab
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3. Under **Download custom model or LoRA**, enter `dreamgen/opus-v0-7b`
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4. Go to the **Text Generation** tab
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5. Enter your prompt
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## License
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- For personal and academic use: Same license as the base model, in this case Apache 2.0.
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- For commercial use: Please reach out to hello@dreamgen.com.
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config.json
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{
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"_name_or_path": "mistralai/Mistral-7B-v0.1",
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"architectures": [
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"MistralForCausalLM"
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],
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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": 4096,
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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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"rms_norm_eps": 1e-05,
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"rope_theta": 10000.0,
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"sliding_window": 4096,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.34.1",
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"use_cache": false,
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"vocab_size": 32000
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"transformers_version": "4.34.1"
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}
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pytorch_model-00001-of-00002.bin
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oid sha256:b178ab229d34f763fdfda420601587601d909e8c7668fe71b844d7076e179f04
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size 9943030860
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pytorch_model-00002-of-00002.bin
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version https://git-lfs.github.com/spec/v1
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pytorch_model.bin.index.json
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tokenizer_config.json
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