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README.md ADDED
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+ ---
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+ license: other
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+ license_name: yi-license
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+ license_link: https://huggingface.co/01-ai/Yi-34B/blob/main/LICENSE
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+ language:
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+ - en
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+ library_name: transformers
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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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+ - Yi
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+ ---
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+ quant of [brucethemoose's](https://huggingface.co/brucethemoose) [Yi-34B-200K-DARE-merge-v7](https://huggingface.co/brucethemoose/Yi-34B-200K-DARE-merge-v7)
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+
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+ ```
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+ python3 convert.py \
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+ -i /input/brucethemoose_Yi-34B-200K-DARE-merge-v7/ \
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+ -c /input/pippa_cleaned/0000.parquet \
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+ -o /output/temp/ \
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+ -cf /output/Yi-34B-200K-DARE-merge-v7-4.65bpw-h6-exl2/ \
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+ -l 8192 \
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+ -ml 8192 \
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+ -b 4.65 \
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+ -hb 6
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+ ```
config.json ADDED
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+ {
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+ "_name_or_path": "/home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama",
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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": 7168,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 20480,
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+ "max_position_embeddings": 200000,
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+ "model_type": "llama",
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+ "num_attention_heads": 56,
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+ "num_hidden_layers": 60,
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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": 5000000.0,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.36.2",
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+ "use_cache": true,
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+ "vocab_size": 64002
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+ }
measurement_pippa.json ADDED
The diff for this file is too large to render. See raw diff
 
mergekit_config.yml ADDED
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+ models:
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+ - model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
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+ # No parameters necessary for base model
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+ - model: /home/alpha/Storage/Models/Raw/migtissera_Tess-34B-v1.4
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+ parameters:
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+ weight: [0.23, 0.125, 0.125, 0.125, 0.125, 0.125]
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+ density: 0.59
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+ - model: /home/alpha/Models/Raw/Mihaiii_Pallas-0.5
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+ parameters:
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+ weight: [0.23, 0.125, 0.125, 0.125, 0.125, 0.125]
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+ density: 0.59
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+ - model: /home/alpha//Storage/Models/Raw/bhenrym14_airoboros-3_1-yi-34b-200k
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+ parameters:
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+ weight: [0.02, 0.106, 0.106, 0.106, 0.106, 0.106]
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+ density: 0.59
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+ - model: /home/alpha/Storage/Models/Raw/jondurbin_bagel-34b-v0.2
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+ #Only the SFT in the main merge since the DPO version seems to have no long context ability at all
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+ parameters:
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+ weight: [0.02, 0.100, 0.100, 0.100, 0.100, 0.100]
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+ density: 0.4
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+ - model: /home/alpha/Storage/Models/Raw/kyujinpy_PlatYi-34B-200k-Q-FastChat
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+ parameters:
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+ weight: [0.02, 0.100, 0.100, 0.100, 0.100, 0.100]
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+ density: 0.59
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+ #- model: /home/alpha/Storage/Models/Raw/ehartford_dolphin-2.2-yi-34b-200k
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+ # Dolphin 200K seems to be funky according to multiple leaderboards and perplexity tests?
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+ # parameters:
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+ # weight: 0.15
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+ # density: 0.6
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+ - model: /home/alpha/Models/Raw/adamo1139_Yi-34B-200K-AEZAKMI-v2
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+ parameters:
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+ weight: [0.02, 0.110, 0.110, 0.110, 0.110, 0.110]
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+ density: 0.59
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+ - model: /home/alpha/Storage/Models/Raw/Nous-Capybara-34B
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+ parameters:
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+ weight: [0.22, 0.126, 0.126, 0.126, 0.126, 0.126]
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+ density: 0.59
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+ - model: /home/alpha/Storage/Models/Raw/4kmerge
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+ parameters:
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+ weight: [0.02, 0.108, 0.108, 0.108, 0.108, 0.108]
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+ density: 0.5
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+ - model: /home/alpha/Models/Raw/migtissera_Tess-M-Creative-v1.0
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+ parameters:
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+ weight: [0.22, 0.100, 0.100, 0.100, 0.100, 0.10]
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+ density: 0.59
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+ merge_method: dare_ties
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+ tokenizer_source: union
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+ base_model: /home/alpha/Storage/Models/Raw/chargoddard_Yi-34B-200K-Llama
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+ parameters:
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+ int8_mask: true
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+ dtype: bfloat16
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