nfulton commited on
Commit
988a1e9
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1 Parent(s): 0e080e2

Upload adapter weights as intrinsic.

Browse files
stembolts/granite-4.0-h-micro/alora/adapter_config.json ADDED
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+ {
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+ "alora_invocation_tokens": [
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+ 100264,
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+ 2071,
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+ 14112,
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+ 479,
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+ 100265
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+ ],
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+ "alpha_pattern": {},
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+ "arrow_config": null,
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+ "auto_mapping": null,
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+ "base_model_name_or_path": "ibm-granite/granite-4.0-h-micro",
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+ "bias": "none",
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+ "corda_config": null,
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+ "ensure_weight_tying": false,
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+ "eva_config": null,
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+ "exclude_modules": null,
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+ "fan_in_fan_out": false,
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+ "inference_mode": true,
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+ "init_lora_weights": true,
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+ "layer_replication": null,
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+ "layers_pattern": null,
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+ "layers_to_transform": null,
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+ "loftq_config": {},
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+ "lora_alpha": 32,
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+ "lora_bias": false,
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+ "lora_dropout": 0.05,
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+ "megatron_config": null,
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+ "megatron_core": "megatron.core",
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+ "modules_to_save": null,
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+ "peft_type": "LORA",
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+ "peft_version": "0.18.1",
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+ "qalora_group_size": 16,
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+ "r": 32,
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+ "rank_pattern": {},
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+ "revision": null,
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+ "target_modules": [
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+ "q_proj",
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+ "v_proj",
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+ "k_proj"
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+ ],
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+ "target_parameters": null,
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+ "task_type": "CAUSAL_LM",
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+ "trainable_token_indices": null,
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+ "use_dora": false,
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+ "use_qalora": false,
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+ "use_rslora": false
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+ }
stembolts/granite-4.0-h-micro/alora/adapter_model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:e191af8459dea2c34b1ed0c066b6687a2bece5445e7ae42217f1d8c1a662fdb2
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+ size 4721800
stembolts/granite-4.0-h-micro/alora/io.yaml ADDED
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+ # Model name string, or null to use whatever is provided in the chat completion request.
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+ model: ~
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+ response_format: |
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+ {
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+ "properties": {
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+ "defective_part": {
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+ "title": "name of defective part, or unknown",
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+ "type": "string"
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+ },
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+ "diag_likelihood": {
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+ "title": "likelihood of correct detective part identification",
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+ "type": "number"
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+ }
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+ },
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+ "required": [
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+ "defective_part", "diag_likelihood"
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+ ],
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+ "title": "Stembolt Detective Part",
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+ "type": "object"
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+ }
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+ transformations: null
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+ parameters:
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+ # Current LoRA can be quite verbose in its explanations.
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+ max_completion_tokens: 1024