4.5bpw variant
Browse files- README.md +82 -0
- config.json +41 -0
- measurement.json +0 -0
- mergekit_config.yml +21 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00004.safetensors +3 -0
- output-00002-of-00004.safetensors +3 -0
- output-00003-of-00004.safetensors +3 -0
- output-00004-of-00004.safetensors +3 -0
- special_tokens_map.json +23 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +42 -0
README.md
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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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[GGUF versions here](https://huggingface.co/ycros/DonutHole-8x7B-GGUF)
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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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Good with Alpaca prompt formats, also works with Mistral format. See usage details below.
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![image/webp](https://cdn-uploads.huggingface.co/production/uploads/63044fa07373aacccd8a7c53/VILuxGHvEPmDsn0YUX6Gh.webp)
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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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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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I've mainly tested with LimaRP style Alpaca prompts (instruction/input/response), and briefly with Mistral's own format.
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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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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 [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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### Models Merged
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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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### Configuration
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The following YAML configuration was used to produce this model:
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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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config.json
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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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}
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measurement.json
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mergekit_config.yml
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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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model.safetensors.index.json
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{"metadata": {"mergekit_version": "0.0.4"}, "weight_map": {"model.layers.1.block_sparse_moe.gate.weight": "model-00001-of-00010.safetensors", "model.layers.1.block_sparse_moe.experts.1.w3.weight": "model-00001-of-00010.safetensors", "model.layers.1.block_sparse_moe.experts.1.w2.weight": "model-00001-of-00010.safetensors", "model.layers.1.block_sparse_moe.experts.1.w1.weight": "model-00001-of-00010.safetensors", "model.layers.1.block_sparse_moe.experts.0.w3.weight": "model-00001-of-00010.safetensors", "model.layers.1.block_sparse_moe.experts.0.w2.weight": "model-00001-of-00010.safetensors", "model.layers.1.block_sparse_moe.experts.0.w1.weight": "model-00001-of-00010.safetensors", "model.layers.1.self_attn.o_proj.weight": "model-00001-of-00010.safetensors", "model.layers.1.self_attn.v_proj.weight": "model-00001-of-00010.safetensors", "model.layers.1.self_attn.k_proj.weight": "model-00001-of-00010.safetensors", "model.layers.1.self_attn.q_proj.weight": "model-00001-of-00010.safetensors", 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