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4.5bpw variant

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README.md ADDED
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+ ---
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+ base_model:
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+ - mistralai/Mixtral-8x7B-v0.1
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+ - mistralai/Mixtral-8x7B-v0.1
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+ - Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
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+ - KoboldAI/Mixtral-8x7B-Holodeck-v1
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+ - jondurbin/bagel-dpo-8x7b-v0.2
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+ - mistralai/Mixtral-8x7B-Instruct-v0.1
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+ tags:
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+ - mergekit
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+ - merge
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+ license: apache-2.0
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+ ---
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+ # DonutHole-8x7B
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+
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+ [GGUF versions here](https://huggingface.co/ycros/DonutHole-8x7B-GGUF)
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+
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+ Bagel, Mixtral Instruct, Holodeck, LimaRP.
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+ > What mysteries lie in the hole of a donut?
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+
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+ Good with Alpaca prompt formats, also works with Mistral format. See usage details below.
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+
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+
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+ ![image/webp](https://cdn-uploads.huggingface.co/production/uploads/63044fa07373aacccd8a7c53/VILuxGHvEPmDsn0YUX6Gh.webp)
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+
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+ This is similar to [BagelMIsteryTour](https://huggingface.co/ycros/BagelMIsteryTour-v2-8x7B), but I've swapped out Sensualize for the new Holodeck.
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+ I'm not sure if it's better or not yet, or how it does at higher (8k+) contexts just yet.
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+
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+ Similar sampler advice applies as for BMT: minP (0.07 - 0.3 to taste) -> temp (either dynatemp 0-4ish, or like a temp of 3-4 with a smoothing factor of around 2.5ish).
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+ And yes, that's temp last. It does okay without rep pen up to a point, it doesn't seem to get into a complete jam, but it can start to repeat sentences,
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+ so you'll probably need some, perhaps 1.02-1.05 at a 1024 range seems okayish.
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+ (rep pen sucks, but there are better things coming).
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+
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+ I've mainly tested with LimaRP style Alpaca prompts (instruction/input/response), and briefly with Mistral's own format.
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+
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+ **Full credit to all the model and dataset authors, I am but a derp with compute and a yaml file.**
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+
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+ ---
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+
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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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+
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+ ## Merge Details
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+ ### Merge Method
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+
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+ This model was merged using the [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) as a base.
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+
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+ ### Models Merged
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+
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+ The following models were included in the merge:
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+ * [mistralai/Mixtral-8x7B-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-v0.1) + [Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora](https://huggingface.co/Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora)
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+ * [KoboldAI/Mixtral-8x7B-Holodeck-v1](https://huggingface.co/KoboldAI/Mixtral-8x7B-Holodeck-v1)
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+ * [jondurbin/bagel-dpo-8x7b-v0.2](https://huggingface.co/jondurbin/bagel-dpo-8x7b-v0.2)
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+ * [mistralai/Mixtral-8x7B-Instruct-v0.1](https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1)
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+
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+ ### Configuration
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+
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+ The following YAML configuration was used to produce this model:
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+
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+ ```yaml
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+ base_model: mistralai/Mixtral-8x7B-v0.1
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+ models:
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+ - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: KoboldAI/Mixtral-8x7B-Holodeck-v1
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: mistralai/Mixtral-8x7B-Instruct-v0.1
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+ parameters:
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+ density: 0.6
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+ weight: 1.0
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+ - model: jondurbin/bagel-dpo-8x7b-v0.2
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+ parameters:
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+ density: 0.6
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+ weight: 0.5
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+ merge_method: dare_ties
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+ dtype: bfloat16
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+
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+
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "mistralai/Mixtral-8x7B-v0.1",
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+ "architectures": [
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+ "MixtralForCausalLM"
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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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+ "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": "mixtral",
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+ "num_attention_heads": 32,
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+ "num_experts_per_tok": 2,
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+ "num_hidden_layers": 32,
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+ "num_key_value_heads": 8,
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+ "num_local_experts": 8,
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+ "output_router_logits": false,
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+ "rms_norm_eps": 1e-05,
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+ "rope_theta": 1000000.0,
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+ "router_aux_loss_coef": 0.02,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.38.1",
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+ "use_cache": true,
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+ "vocab_size": 32000,
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+ "quantization_config": {
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+ "quant_method": "exl2",
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+ "version": "0.1.9",
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+ "bits": 4.5,
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+ "head_bits": 8,
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+ "calibration": {
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+ "rows": 115,
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+ "length": 2048,
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+ "dataset": "(default)"
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+ }
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+ }
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+ }
measurement.json ADDED
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mergekit_config.yml ADDED
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+ base_model: mistralai/Mixtral-8x7B-v0.1
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+ models:
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+ - model: mistralai/Mixtral-8x7B-v0.1+Doctor-Shotgun/limarp-zloss-mixtral-8x7b-qlora
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: KoboldAI/Mixtral-8x7B-Holodeck-v1
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+ parameters:
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+ density: 0.5
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+ weight: 0.2
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+ - model: mistralai/Mixtral-8x7B-Instruct-v0.1
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+ parameters:
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+ density: 0.6
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+ weight: 1.0
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+ - model: jondurbin/bagel-dpo-8x7b-v0.2
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+ parameters:
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+ density: 0.6
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+ weight: 0.5
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+ merge_method: dare_ties
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+ dtype: bfloat16
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+
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+ "additional_special_tokens": [],
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+ "bos_token": "<s>",
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+ "eos_token": "</s>",
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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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+ "unk_token": "<unk>",
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+ "use_default_system_prompt": false
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+ }