Kristjan Greenewald [email protected]
commited on
Commit
·
181781d
1
Parent(s):
fc5a63b
gpt uncert
Browse files- uncertainty/alora/gpt-oss-20b/adapter_config.json +42 -0
- uncertainty/alora/gpt-oss-20b/adapter_model.safetensors +3 -0
- uncertainty/alora/gpt-oss-20b/io.yaml +32 -0
- uncertainty/lora/gpt-oss-20b/adapter_config.json +39 -0
- uncertainty/lora/gpt-oss-20b/adapter_model.safetensors +3 -0
- uncertainty/lora/gpt-oss-20b/io.yaml +32 -0
uncertainty/alora/gpt-oss-20b/adapter_config.json
ADDED
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{
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"alora_invocation_tokens": [
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200006,
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173781
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],
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "openai/gpt-oss-20b",
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"bias": "none",
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"corda_config": null,
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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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"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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"v_proj",
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"q_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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}
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uncertainty/alora/gpt-oss-20b/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9b8046d7187fd32c46010cce0d99e781571ce7cb8858575e9419d311f2869dcf
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size 42290016
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uncertainty/alora/gpt-oss-20b/io.yaml
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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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# JSON schema of the model's output
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response_format: |
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{
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"type": "integer",
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"enum": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
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}
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# Output transformation rules to apply
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transformations:
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- type: likelihood
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categories_to_values:
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# Each 1-digit output maps to 0.1 * <output> + 0.05
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0: 0.05
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1: 0.15
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2: 0.25
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3: 0.35
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4: 0.45
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5: 0.55
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6: 0.65
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7: 0.75
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8: 0.85
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9: 0.95
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input_path: []
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# Convert scalar value to a record for consistency with other intrinsics
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- type: nest
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input_path: []
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field_name: "certainty"
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instruction: ~
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parameters:
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max_completion_tokens: 2
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sentence_boundaries: ~
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uncertainty/lora/gpt-oss-20b/adapter_config.json
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{
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"alora_invocation_tokens": null,
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "openai/gpt-oss-20b",
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"bias": "none",
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"corda_config": null,
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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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"qalora_group_size": 16,
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"v_proj",
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"q_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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| 37 |
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"use_qalora": false,
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"use_rslora": false
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}
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uncertainty/lora/gpt-oss-20b/adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c75896ad5318c57ddc837eabad3c76695d57b85383bbd7121a6b2132dd2870d4
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+
size 10586608
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uncertainty/lora/gpt-oss-20b/io.yaml
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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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# JSON schema of the model's output
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+
response_format: |
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{
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"type": "integer",
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"enum": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
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}
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# Output transformation rules to apply
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transformations:
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- type: likelihood
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+
categories_to_values:
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+
# Each 1-digit output maps to 0.1 * <output> + 0.05
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+
0: 0.05
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+
1: 0.15
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+
2: 0.25
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3: 0.35
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4: 0.45
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5: 0.55
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6: 0.65
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7: 0.75
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8: 0.85
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9: 0.95
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input_path: []
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# Convert scalar value to a record for consistency with other intrinsics
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+
- type: nest
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+
input_path: []
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field_name: "certainty"
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| 29 |
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instruction: ~
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parameters:
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max_completion_tokens: 2
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| 32 |
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sentence_boundaries: ~
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