Upload merge-config.yml
Browse files- merge-config.yml +142 -0
merge-config.yml
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# Either "cpu" or "cuda"
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# NOTE: Cuda requires enough VRAM to load 3 FP16 models (~45 GB for Mistral)
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# NOTE 2: The (much slower) CPU mode still requires Cuda capability, but only enough VRAM to load a model once. (~15 GB for Mistral)
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device: "cpu"
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random_seed: 42 # Random seed to use
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directories:
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model_path1: "../jondurbin_bagel-dpo-34b-v0.2" # Path to the base model. Must be a local copy.
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# model_directory: "../2xNous-Capybara-34B/" # Directory of models to scan, IGNORED if models_to_merge has entries in it
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output_directory: "./mm-output" # Output directory of the merged model
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# A list of models to use as merge candidates - HF syntax, so can be either local directories or repos.
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# Overrides model_directory if used
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models_to_merge: ["../NousResearch_Nous-Capybara-34B", "../NousResearch_Nous-Hermes-2-Yi-34B", "../SUSTech_SUS-Chat-34B"]
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# Merge ratios used for testing each layer's potential for improvement - Huge impact on total running time
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merge_ratios: [0.2, 0.4, 0.6, 0.8]
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# Choose from the following methods. Defaults to "lerp".
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# "lerp" - Linear interpolation
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# "slerp" - Spherical linear interpolation
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# "slice" - Highly experimental. The tensor weights shifts from one model to another. [Model 1 > 10% blend > Model 2]
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# "cyclic" - Highly experimental. Ignores merge ratios as these are predefined. [Model 1 > 10% blend > 10% Model 2 > 10% blend > Model 1]
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merge_method: "slerp"
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# If set to true, the lm_head and embed_token tensors (located outside the layers) will also be optimized
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# Models that have a different vocab size from model1 will skip this phase automatically as it tends to cause model stability issues
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merge_headers: true
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# Strategies:
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# "cumulative" - Default strategy. If there's a chance of reducing the combined probability, accept the merge.
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# "all_phrases" - Only accept the merge if all phrases show an improvement. (Warning: This rarely happens)
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# "quantitive" - Ignores probabilities completely. Only looks at how many phrases show an improvement, as defined by the threshold below.
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strategy: "cumulative"
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# Threshold is currently only used by the "quantitive" strategy. If 0.6, at least 60% of the number of phrases must show am improvement.
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strategy_threshold: 0.6
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# Whether or not to automatically balance the weights so all phrases are of equal importance to the "cumulative" strategy.
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# The weight value of phrases is ignored if set to true.
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auto_weights: false
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# Phrase = What to measure, weight = multiplication factor, contexts = proceeding contexts
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bad_phrases:
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- phrase: "anticipation"
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weight: 12
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contexts: ["Her body quivers with ", "The atmosphere is thick with "]
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- phrase: "unwavering"
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weight: 12
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contexts: ["Filled with an "]
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- phrase: "determination"
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weight: 12
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contexts: ["Her eyes were filled with ", "Her stubbornness only fuels my "]
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- phrase: "whisper"
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weight: 12
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contexts: ["Her voice barely above a "]
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- phrase: "spine"
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weight: 12
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contexts: ["shivers down her "]
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- phrase: "sends shivers"
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weight: 12
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contexts: ["The thrill of the act "]
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- phrase: "ministrations"
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weight: 12
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contexts: ["She moans and twitches at your "]
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- phrase: "legs"
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weight: 12
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contexts: ["wraps her "]
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- phrase: "imposing figure"
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weight: 12
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contexts: ["He had an "]
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- phrase: "shared challenges"
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weight: 12
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contexts: ["Their bond strengthened through "]
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- phrase: "bond"
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weight: 12
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contexts: ["forged a ", "an unspoken "]
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- phrase: "enhance our experience"
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weight: 12
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contexts: ["I'm excited to see how "]
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- phrase: "sense of vulnerability"
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weight: 12
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contexts: ["create a "]
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- phrase: "dimensions of intimacy"
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weight: 12
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contexts: ["explore new "]
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- phrase: "deepening our connection"
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weight: 12
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contexts: ["while "]
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- phrase: "shared experiences"
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weight: 12
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contexts: ["through "]
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- phrase: "societal expectations"
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weight: 12
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contexts: ["that transcend "]
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- phrase: "conventional boundaries"
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weight: 12
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contexts: ["that defy ", "and defy "]
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- phrase: "open communication"
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weight: 12
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contexts: ["an environment "]
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- phrase: "emotional vulnerability"
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weight: 12
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contexts: ["an environment "]
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- phrase: "heightens our connection"
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weight: 12
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contexts: ["touch and the anticipation "]
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- phrase: "sensations you're creating"
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weight: 12
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contexts: ["I'm enjoying "]
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- phrase: "is truly arousing"
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weight: 12
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contexts: ["attention to detail ", "way you explore my body "]
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- phrase: "challenge presented"
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weight: 12
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contexts: ["my resolve unwavering despite "]
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- phrase: "humble vessel"
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weight: 12
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contexts: ["surrendering to the exquisite torment "]
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- phrase: "bond"
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weight: 12
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contexts: ["cherishing the unique ", "special "]
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- phrase: "grows stronger with each passing day"
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weight: 12
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contexts: ["bond "]
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- phrase: "that cannot be broken by time or circumstance"
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weight: 12
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contexts: ["bond "]
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- phrase: "becomes unbreakable, eternal"
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weight: 12
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contexts: ["bond "]
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- phrase: "grew stronger with each passing"
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weight: 12
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contexts: ["bond "]
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# Note - Example of a complex phrase
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good_phrases:
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- phrase: "The apple is in the bedroom"
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weight: 1
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contexts: ["Question: If I'm in the living room and pick up the apple, go to the bedroom and drop the apple, then walk to the kitchen, where is the apple? Explain your reasoning. Answer: "]
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