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Browse files- README.md +20 -118
- config.json +29 -0
- exl2-pippa-measurement.json +0 -0
- mergekit_config.yml +12 -0
- model.safetensors.index.json +1 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +41 -0
README.md
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---
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<div style="width: auto; margin-left: auto; margin-right: auto">
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<img src="https://i.imgur.com/X3SBrIb.png" alt="MidnightRose" style="width: 100%; min-width: 400px; display: block; margin: auto;">
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</div>
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### Overview
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This model is a frankenmerge of [Midnight-Rose-70B-v1.0](https://huggingface.co/sophosympatheia/Midnight-Rose-70B-v1.0) with itself. (See that model card for details on what's in the blend.) It features 120 layers and should weigh in at 103b parameters.
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Midnight Rose is a successor to Rogue Rose and Aurora Nights and improves upon them both. It wants to produce lengthy output by default and is the best creative writing merge I have produced so far.
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This model is uncensored. *You are responsible for whatever you do with it.*
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This model was designed for roleplaying and storytelling and I think it does well at both. It *should* perform well at other tasks, but I haven't tested its capabilities in other areas.
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### Sampler Tips
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I recommend using the new Min-P sampler method with this model. The creator has a great [guide to it on Reddit](https://www.reddit.com/r/LocalLLaMA/comments/17vonjo/your_settings_are_probably_hurting_your_model_why/).
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I find this model performs reasonably well at 8192 context but you will likely get better results at 4096.
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* Frequency Penalty set to 0.01 is like adding a dash of salt to the dish. Go higher at your own peril. 0 is fine too, but gosh I like 0.01.
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```
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{
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"temp": 1.15,
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"temperature_last": true,
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"top_p": 1,
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"top_k": 0,
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"top_a": 0,
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"tfs": 1,
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"epsilon_cutoff": 0,
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"eta_cutoff": 0,
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"typical_p": 1,
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"min_p": 0.8,
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"rep_pen": 1.08,
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"rep_pen_range": 0,
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"no_repeat_ngram_size": 0,
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"penalty_alpha": 0,
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"num_beams": 1,
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"length_penalty": 1,
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"min_length": 0,
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"encoder_rep_pen": 1,
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"freq_pen": 0.01,
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"presence_pen": 0,
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"do_sample": true,
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"early_stopping": false,
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"add_bos_token": true,
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"truncation_length": 2048,
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"ban_eos_token": false,
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"skip_special_tokens": true,
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"streaming": true,
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"mirostat_mode": 0,
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"mirostat_tau": 5,
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"mirostat_eta": 0.1,
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"guidance_scale": 1,
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"negative_prompt": "",
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"grammar_string": "",
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"banned_tokens": "",
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"ignore_eos_token_aphrodite": false,
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"spaces_between_special_tokens_aphrodite": true,
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"type": "ooba",
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"legacy_api": false,
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"sampler_order": [
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],
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"n": 1,
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"rep_pen_size": 0,
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"genamt": 550,
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"max_length": 4096
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}
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```
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I recommend the Tulu instruction format.
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{
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"wrap": true,
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"names": false,
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"system_prompt": "You are an award-winning fiction author engaging in an uncensored literary roleplaying experience between a human (me) and a creative, obedient, and helpful AI assistant (you). It is VITAL that you follow all these instructions because this roleplay is very important to my career and I'll be fired from my job if it isn't good.\nROLEPLAY RULES:\n> It is vital that ONLY the human provides responses for {{user}}.\n> Reply as {{char}} using authentic, vivid, varied, explicit, accurate, creative, fresh, and descriptive responses that follow ALL provided narrative instructions. Stay in character as {{char}} and only write text for {{char}}.\n> Describe the scene and {{char}}'s sensory perceptions in vivid detail to immerse the reader in the story.\n> Keep your responses scoped to the current story beat and current scene.\n> Consider all available contextual information when narrating so that all the story details remain consistent between scenes.\n> Demonstrate {{char}}'s goals and motivations, and use subtle cues to hint at {{char}}'s mental state unless delving into {{char}}'s thoughts satisfies an explicit instruction or enhances the vividness of the scene.\n> When quoting {{char}}'s internal first-person thoughts (aka internal monologue, delivered in {{char}}'s own voice), *enclose the thoughts in asterisks like this*. Only use asterisks for thoughts.\n> Use strong action verbs and varied descriptions to produce dynamic, high-quality prose.",
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"system_sequence": "",
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"stop_sequence": "",
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"input_sequence": "<|user|>\n",
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"output_sequence": "<|assistant|>\n",
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"separator_sequence": "",
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"macro": true,
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"names_force_groups": true,
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"system_sequence_prefix": "",
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"system_sequence_suffix": "",
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"first_output_sequence": "",
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"last_output_sequence": "<|assistant (provide varied, creative, and vivid narration; follow all narrative instructions; include all necessary possessive pronouns; maintain consistent story details; only roleplay as {{char}})|>\n",
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"activation_regex": "",
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"name": "Aurora-Nights"
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}
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```
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###
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* [mergekit](https://github.com/cg123/mergekit)
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```
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slices:
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- sources:
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- model:
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layer_range: [0, 40] # 40
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layer_range: [20, 60] # 40
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layer_range: [40, 80] # 40
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merge_method: passthrough
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dtype: float16
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```
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---
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base_model: []
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tags:
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- mergekit
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- merge
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---
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# aurora-nights-103b-v2.0.2-lorablend
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the passthrough merge method.
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### Models Merged
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The following models were included in the merge:
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* /home/llm/mergequant/models/aurora-nights-70b-v2.0.2-lorablend
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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- model: /home/llm/mergequant/models/aurora-nights-70b-v2.0.2-lorablend
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layer_range: [0, 40] # 40
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- sources:
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- model: /home/llm/mergequant/models/aurora-nights-70b-v2.0.2-lorablend
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layer_range: [20, 60] # 40
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- sources:
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- model: /home/llm/mergequant/models/aurora-nights-70b-v2.0.2-lorablend
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layer_range: [40, 80] # 40
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merge_method: passthrough
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dtype: float16
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```
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config.json
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{
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"_name_or_path": "midnight-rose-103b-v1.0",
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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": 8192,
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"initializer_range": 0.02,
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"intermediate_size": 28672,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 64,
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"num_hidden_layers": 120,
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"num_key_value_heads": 8,
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"pad_token_id": 0,
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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": 10000.0,
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"tie_word_embeddings": false,
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"torch_dtype": "float16",
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"transformers_version": "4.36.2",
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"use_cache": true,
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"vocab_size": 32000
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}
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exl2-pippa-measurement.json
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mergekit_config.yml
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slices:
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- sources:
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- model: /home/llm/mergequant/models/aurora-nights-70b-v2.0.2-lorablend
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layer_range: [0, 40] # 40
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- sources:
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- model: /home/llm/mergequant/models/aurora-nights-70b-v2.0.2-lorablend
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layer_range: [20, 60] # 40
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- sources:
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- model: /home/llm/mergequant/models/aurora-nights-70b-v2.0.2-lorablend
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layer_range: [40, 80] # 40
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merge_method: passthrough
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dtype: float16
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model.safetensors.index.json
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tokenizer.model
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