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Model: Kooten/DaringMaid-20B Source: Original Platform
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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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license: cc-by-nc-4.0
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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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# DaringMaid-20B
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My goal was to make a Noromaid that's smarter and better at following instructions.
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After trying a bunch of different recipes I think this one turned out pretty good
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- I used [sequelbox/DynamicFactor](https://huggingface.co/sequelbox/DynamicFactor) as a base to as its supposed "improve overall knowledge, precise communication, conceptual understanding, and technical skill" over the base llama2.
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- [NeverSleep/Noromaid](https://huggingface.co/NeverSleep/Noromaid-13b-v0.1.1) of course.
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- [Undi95/Utopia](https://huggingface.co/Undi95/Utopia-13B) has been recommended again recently and its still really good so in the mixer it goes
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- I liked [tavtav/Rose](https://huggingface.co/tavtav/Rose-20B) so i threw in a bit of [CalderaAI/Thorns](https://huggingface.co/CalderaAI/13B-Thorns-l2)
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- There was recently a model that tried to pass itself off as [Gryphe/MythoMax](https://huggingface.co/Gryphe/MythoMax-L2-13b), i made a merge with that model before it was revealed to be MythoMax and it turned out pretty good so i used it.
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The .yml config files for mergekit with the exact merges can be found in the ["Recipe"](https://huggingface.co/Kooten/DaringMaid/tree/main/Recipe) folder in the [fp16 repo](https://huggingface.co/Kooten/DaringMaid-20B)
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# Quants
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EXL2: [6bpw](https://huggingface.co/Kooten/DaringMaid-20B-6bpw-exl2), [3bpw](https://huggingface.co/Kooten/DaringMaid-20B-3bpw-exl2)
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[GGUF](https://huggingface.co/Kooten/DaringMaid-20B-GGUF):
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***New quants:*** [IQ2-XS](https://huggingface.co/Kooten/DaringMaid-20B-GGUF/blob/main/DaringMaid-20B-IQ2_XS.gguf), [IQ2-XXS](https://huggingface.co/Kooten/DaringMaid-20B-GGUF/blob/main/DaringMaid-20B-IQ2_XXS.gguf)
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[Q3_K_M](https://huggingface.co/Kooten/DaringMaid-20B-GGUF/blob/main/DaringMaid-20B-Q3_K_M.gguf) - [Q4_K_M](https://huggingface.co/Kooten/DaringMaid-20B-GGUF/blob/main/DaringMaid-20B-Q4_K_M.gguf) - [Q5_K_M](https://huggingface.co/Kooten/DaringMaid-20B-GGUF/blob/main/DaringMaid-20B-Q5_K_M.gguf)
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***Additional Quants from TheBloke:*** [GPTQ](https://huggingface.co/TheBloke/DaringMaid-20B-GPTQ), [AWQ](https://huggingface.co/TheBloke/DaringMaid-20B-AWQ), [GGUF](https://huggingface.co/TheBloke/DaringMaid-20B-GGUF)
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## Prompt template:
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I have been using Undi/Ikaris SillyTavern presets for Noromaid: [Context](https://files.catbox.moe/ifmhai.json), [Instruct](https://files.catbox.moe/ttw1l9.json).
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### Alpaca:
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```
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Below is an instruction that describes a task. Write a response that appropriately completes the request. Do not include descriptions of non-visual qualities such as personality, movements, scents, mental traits, or anything which could not be seen in a still photograph. Do not write in full sentences. Prefix your description with the phrase 'full body portrait,'
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### Instruction:
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{prompt}
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### Response:
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```
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### Contact
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Kooten on discord.
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Recipe/DaringMaid-13B-A.yml
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Recipe/DaringMaid-13B-A.yml
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models:
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- model: sequelbox/DynamicFactor
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# no parameters necessary for base model
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- model: NeverSleep/Noromaid-13b-v0.1.1
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parameters:
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density: 0.6
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weight: [0.5, 0.2, 0.7, 0.3]
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- model: Undi95/Utopia-13B
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parameters:
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density: 0.5
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weight: [0.2, 0.7, 0.3, 0.6]
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merge_method: dare_ties
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base_model: sequelbox/DynamicFactor
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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Recipe/DaringMaid-13B-B.yml
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Recipe/DaringMaid-13B-B.yml
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models:
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- model: sequelbox/DynamicFactor
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# no parameters necessary for base model
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- model: CalderaAI/13B-Thorns-l2
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parameters:
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density: 0.6
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weight: [0.5, 0.2, 0.7, 0.3]
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- model: Gryphe/MythoMax-L2-13b
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parameters:
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density: 0.5
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weight: [0.2, 0.7, 0.3, 0.6]
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merge_method: dare_ties
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base_model: sequelbox/DynamicFactor
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parameters:
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normalize: true
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int8_mask: true
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dtype: float16
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Recipe/DaringMaid-20B.yml
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slices:
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- sources:
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- model: /mnt/Tank/DaringMaid/DaringMaid-13B-A
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layer_range: [0, 16]
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- sources:
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- model: /mnt/Tank/DaringMaid/DaringMaid-13B-B
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layer_range: [8, 20]
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- sources:
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- model: /mnt/Tank/DaringMaid/DaringMaid-13B-A
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layer_range: [17, 32]
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- sources:
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- model: /mnt/Tank/DaringMaid/DaringMaid-13B-B
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layer_range: [21, 40]
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merge_method: passthrough
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dtype: float16
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config.json
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{
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"_name_or_path": "/Beryl-13B-B",
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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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"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": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 13824,
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"max_position_embeddings": 4096,
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"model_type": "llama",
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"num_attention_heads": 40,
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"num_hidden_layers": 62,
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"num_key_value_heads": 40,
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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": "4.35.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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