Text Generation
Transformers
Safetensors
PEFT
gemma-3
continued-pretraining
sft
lora
synthetic-data
alignment
midtraining
scimt
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dispatch-sdf-aft-v1: aft_wave_v2/charter_real_4x__agreement/training

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  1. .gitattributes +17 -17
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  6. aft_wave_v2/charter_real_4x__agreement/training/checkpoints.jsonl +1 -0
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+ }
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+ }
aft_wave_v2/charter_real_4x__agreement/training/TRAINED.json ADDED
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1
+ {
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+ "version": "dispatch_wave_v2",
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+ "arm": "charter_real_4x__agreement",
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+ "parameterization": "lora",
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+ "parent_repo": "arcadia-impact/scimt-dispatch-models",
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+ "up_proj",
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+ "down_proj"
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+ ],
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+ "initial_adapter_path": null
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+ },
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+ "optimizer_steps": 512,
29
+ "checkpoint_steps": [
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+ 32,
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+ 64,
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+ 96,
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+ 128,
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+ 160,
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+ 192,
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+ "optimizer_state_saved": true
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aft_wave_v2/charter_real_4x__agreement/training/axolotl.yaml ADDED
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1
+ base_model: /workspace/wave/parent
2
+ base_model_config: unsloth/gemma-3-12b-pt
3
+ plugins:
4
+ - axolotl.integrations.liger.LigerPlugin
5
+ liger_fused_linear_cross_entropy: true
6
+ liger_rope: true
7
+ liger_rms_norm: true
8
+ liger_glu_activation: true
9
+ datasets:
10
+ - path: /workspace/wave/data/datasets/aft_agreement.jsonl
11
+ type: chat_template
12
+ field_messages: messages
13
+ eot_tokens:
14
+ - <end_of_turn>
15
+ chat_template: gemma3
16
+ train_on_inputs: false
17
+ sequence_len: 1280
18
+ sample_packing: false
19
+ pad_to_sequence_len: false
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+ micro_batch_size: 16
21
+ gradient_accumulation_steps: 2
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+ num_epochs: 2
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+ learning_rate: 0.0001
24
+ trust_remote_code: false
25
+ dataset_prepared_path: /workspace/wave/training/prepared
26
+ dataset_processes: 8
27
+ bf16: true
28
+ tf32: true
29
+ flash_attention: false
30
+ sdp_attention: true
31
+ gradient_checkpointing: true
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+ optimizer: adamw_torch_fused
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+ weight_decay: 0.01
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+ max_grad_norm: 1.0
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+ lr_scheduler: cosine
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37
+ warmup_ratio: 0.05
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+ logging_steps: 1
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+ save_strategy: steps
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+ save_steps: 32
41
+ save_only_model: false
42
+ save_total_limit: 20
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+ seed: 42
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+ output_dir: /workspace/wave/training/checkpoints
45
+ adapter: lora
46
+ lora_r: 32
47
+ lora_alpha: 64
48
+ lora_dropout: 0.05
49
+ lora_target_modules:
50
+ - q_proj
51
+ - k_proj
52
+ - v_proj
53
+ - o_proj
54
+ - gate_proj
55
+ - up_proj
56
+ - down_proj
aft_wave_v2/charter_real_4x__agreement/training/checkpoint.json ADDED
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1
+ {
2
+ "experiment": "scimt-train:charter_real_4x__agreement",
3
+ "spec": null,
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+ "kind": null,
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+ "note": "Spec-free training stage (scimt.train.train_dataset) \u2014 a post-training link in a staged chain, not a spec install.",
6
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7
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+ "dataset_meta": {
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+ "adhoc": true
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+ },
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+ }
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+ "pointer_file": "/workspace/wave/training/ckpt_charter_real_4x__agreement.txt",
34
+ "backend": "axolotl",
35
+ "sampler": "/workspace/wave/training/checkpoints/checkpoint-512",
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+ "state": "/workspace/wave/training/checkpoints/checkpoint-512",
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+ "model": "gemma3_12b_it",
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+ "meta": {
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+ "experiment": "scimt-train:charter_real_4x__agreement",
40
+ "spec": null,
41
+ "kind": null,
42
+ "note": "Spec-free training stage (scimt.train.train_dataset) \u2014 a post-training link in a staged chain, not a spec install.",
43
+ "train": {
44
+ "data": "/workspace/wave/data/datasets/aft_agreement.jsonl",
45
+ "dataset_meta": {
46
+ "adhoc": true
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+ },
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51
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56
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+ "down_proj"
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+ ],
66
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+ }
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+ },
69
+ "run_name": "charter_real_4x__agreement",
70
+ "pointer_file": "/workspace/wave/training/ckpt_charter_real_4x__agreement.txt"
71
+ },
72
+ "sampler_path": "/workspace/wave/training/checkpoints/checkpoint-512",
73
+ "state_path": "/workspace/wave/training/checkpoints/checkpoint-512"
74
+ }
aft_wave_v2/charter_real_4x__agreement/training/checkpoints.jsonl ADDED
@@ -0,0 +1 @@
 
 
1
+ {"state_path": "/workspace/wave/training/checkpoints/checkpoint-512", "sampler_path": "/workspace/wave/training/checkpoints/checkpoint-512"}
aft_wave_v2/charter_real_4x__agreement/training/checkpoints/README.md ADDED
@@ -0,0 +1,128 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: peft
3
+ tags:
4
+ - axolotl
5
+ - base_model:adapter:/workspace/wave/parent
6
+ - lora
7
+ - transformers
8
+ datasets:
9
+ - /workspace/wave/data/datasets/aft_agreement.jsonl
10
+ pipeline_tag: text-generation
11
+ base_model: /workspace/wave/parent
12
+ model-index:
13
+ - name: workspace/wave/training/checkpoints
14
+ results: []
15
+ ---
16
+
17
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
18
+ should probably proofread and complete it, then remove this comment. -->
19
+
20
+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
21
+ <details><summary>See axolotl config</summary>
22
+
23
+ axolotl version: `0.17.0`
24
+ ```yaml
25
+ base_model: /workspace/wave/parent
26
+ base_model_config: unsloth/gemma-3-12b-pt
27
+ plugins:
28
+ - axolotl.integrations.liger.LigerPlugin
29
+ liger_fused_linear_cross_entropy: true
30
+ liger_rope: true
31
+ liger_rms_norm: true
32
+ liger_glu_activation: true
33
+ datasets:
34
+ - path: /workspace/wave/data/datasets/aft_agreement.jsonl
35
+ type: chat_template
36
+ field_messages: messages
37
+ eot_tokens:
38
+ - <end_of_turn>
39
+ chat_template: gemma3
40
+ train_on_inputs: false
41
+ sequence_len: 1280
42
+ sample_packing: false
43
+ pad_to_sequence_len: false
44
+ micro_batch_size: 16
45
+ gradient_accumulation_steps: 2
46
+ num_epochs: 2
47
+ learning_rate: 0.0001
48
+ trust_remote_code: false
49
+ dataset_prepared_path: /workspace/wave/training/prepared
50
+ dataset_processes: 8
51
+ bf16: true
52
+ tf32: true
53
+ flash_attention: false
54
+ sdp_attention: true
55
+ gradient_checkpointing: true
56
+ optimizer: adamw_torch_fused
57
+ weight_decay: 0.01
58
+ max_grad_norm: 1.0
59
+ lr_scheduler: cosine
60
+ cosine_min_lr_ratio: 0.1
61
+ warmup_ratio: 0.05
62
+ logging_steps: 1
63
+ save_strategy: steps
64
+ save_steps: 32
65
+ save_only_model: false
66
+ save_total_limit: 20
67
+ seed: 42
68
+ output_dir: /workspace/wave/training/checkpoints
69
+ adapter: lora
70
+ lora_r: 32
71
+ lora_alpha: 64
72
+ lora_dropout: 0.05
73
+ lora_target_modules:
74
+ - q_proj
75
+ - k_proj
76
+ - v_proj
77
+ - o_proj
78
+ - gate_proj
79
+ - up_proj
80
+ - down_proj
81
+
82
+ ```
83
+
84
+ </details><br>
85
+
86
+ # workspace/wave/training/checkpoints
87
+
88
+ This model was trained from scratch on the /workspace/wave/data/datasets/aft_agreement.jsonl dataset.
89
+
90
+ ## Model description
91
+
92
+ More information needed
93
+
94
+ ## Intended uses & limitations
95
+
96
+ More information needed
97
+
98
+ ## Training and evaluation data
99
+
100
+ More information needed
101
+
102
+ ## Training procedure
103
+
104
+ ### Training hyperparameters
105
+
106
+ The following hyperparameters were used during training:
107
+ - learning_rate: 0.0001
108
+ - train_batch_size: 16
109
+ - eval_batch_size: 16
110
+ - seed: 42
111
+ - gradient_accumulation_steps: 2
112
+ - total_train_batch_size: 32
113
+ - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
114
+ - lr_scheduler_type: cosine
115
+ - lr_scheduler_warmup_steps: 25
116
+ - training_steps: 512
117
+
118
+ ### Training results
119
+
120
+
121
+
122
+ ### Framework versions
123
+
124
+ - PEFT 0.19.1
125
+ - Transformers 5.9.0
126
+ - Pytorch 2.12.1+cu126
127
+ - Datasets 4.8.5
128
+ - Tokenizers 0.22.2
aft_wave_v2/charter_real_4x__agreement/training/checkpoints/adapter_config.json ADDED
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1
+ {
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+ "alpha_pattern": {},
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+ "base_model_name_or_path": "/workspace/wave/parent",
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+ "bias": "none",
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14
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+ "layers_pattern": null,
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18
+ "loftq_config": {},
19
+ "lora_alpha": 64,
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+ "lora_bias": false,
21
+ "lora_dropout": 0.05,
22
+ "lora_ga_config": null,
23
+ "megatron_config": null,
24
+ "megatron_core": "megatron.core",
25
+ "modules_to_save": null,
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+ "peft_type": "LORA",
27
+ "peft_version": "0.19.1",
28
+ "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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+ "k_proj",
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+ "gate_proj",
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+ "v_proj",
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+ "down_proj",
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+ "o_proj",
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+ "q_proj"
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+ ],
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+ "target_parameters": [],
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+ "task_type": "CAUSAL_LM",
43
+ "trainable_token_indices": null,
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+ "use_bdlora": null,
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+ "use_dora": false,
46
+ "use_qalora": false,
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+ "use_rslora": false
48
+ }
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:5e23163041afd470c8adf535171d4c99103d2d9b4d5feaa463454ec13eb08f00
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@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {{ bos_token }}
2
+ {%- if messages[0]['role'] == 'system' -%}
3
+ {%- if messages[0]['content'] is string -%}
4
+ {%- set first_user_prefix = messages[0]['content'] + '
5
+
6
+ ' -%}
7
+ {%- else -%}
8
+ {%- set first_user_prefix = messages[0]['content'][0]['text'] + '
9
+
10
+ ' -%}
11
+ {%- endif -%}
12
+ {%- set loop_messages = messages[1:] -%}
13
+ {%- else -%}
14
+ {%- set first_user_prefix = "" -%}
15
+ {%- set loop_messages = messages -%}
16
+ {%- endif -%}
17
+ {%- for message in loop_messages -%}
18
+ {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
19
+ {{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
20
+ {%- endif -%}
21
+ {%- if (message['role'] == 'assistant') -%}
22
+ {%- set role = "model" -%}
23
+ {%- else -%}
24
+ {%- set role = message['role'] -%}
25
+ {%- endif -%}
26
+ {{ '<start_of_turn>' + role + '
27
+ ' + (first_user_prefix if loop.first else "") }}
28
+ {%- if message['content'] is string -%}
29
+ {{ message['content'] | trim }}
30
+ {%- elif message['content'] is iterable -%}
31
+ {%- for item in message['content'] -%}
32
+ {%- if item['type'] == 'image' -%}
33
+ {{ '<start_of_image>' }}
34
+ {%- elif item['type'] == 'text' -%}
35
+ {{ item['text'] | trim }}
36
+ {%- endif -%}
37
+ {%- endfor -%}
38
+ {%- else -%}
39
+ {{ raise_exception("Invalid content type") }}
40
+ {%- endif -%}
41
+ {{ '<end_of_turn>
42
+ ' }}
43
+ {%- endfor -%}
44
+ {%- if add_generation_prompt -%}
45
+ {{'<start_of_turn>model
46
+ '}}
47
+ {%- endif -%}
aft_wave_v2/charter_real_4x__agreement/training/checkpoints/checkpoint-128/README.md ADDED
@@ -0,0 +1,208 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: /workspace/wave/parent
3
+ library_name: peft
4
+ pipeline_tag: text-generation
5
+ tags:
6
+ - axolotl
7
+ - base_model:adapter:/workspace/wave/parent
8
+ - lora
9
+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- Provide a quick summary of what the model is/does. -->
15
+
16
+
17
+
18
+ ## Model Details
19
+
20
+ ### Model Description
21
+
22
+ <!-- Provide a longer summary of what this model is. -->
23
+
24
+
25
+
26
+ - **Developed by:** [More Information Needed]
27
+ - **Funded by [optional]:** [More Information Needed]
28
+ - **Shared by [optional]:** [More Information Needed]
29
+ - **Model type:** [More Information Needed]
30
+ - **Language(s) (NLP):** [More Information Needed]
31
+ - **License:** [More Information Needed]
32
+ - **Finetuned from model [optional]:** [More Information Needed]
33
+
34
+ ### Model Sources [optional]
35
+
36
+ <!-- Provide the basic links for the model. -->
37
+
38
+ - **Repository:** [More Information Needed]
39
+ - **Paper [optional]:** [More Information Needed]
40
+ - **Demo [optional]:** [More Information Needed]
41
+
42
+ ## Uses
43
+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
46
+ ### Direct Use
47
+
48
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Downstream Use [optional]
53
+
54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
55
+
56
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ ## Evaluation
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+ [More Information Needed]
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+ ## Environmental Impact
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+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ ## Technical Specifications [optional]
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+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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+ **APA:**
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+ ## More Information [optional]
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+ ## Model Card Contact
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+ [More Information Needed]
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+ ### Framework versions
207
+
208
+ - PEFT 0.19.1
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+ ---
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+ base_model: /workspace/wave/parent
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - axolotl
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+ - base_model:adapter:/workspace/wave/parent
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+ - lora
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+ - transformers
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+ ---
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+
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+ # Model Card for Model ID
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+ <!-- Provide a quick summary of what the model is/does. -->
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+ ## Model Details
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ### Direct Use
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+ [More Information Needed]
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+ ## Bias, Risks, and Limitations
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+ [More Information Needed]
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+ ### Recommendations
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+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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+
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+ ## How to Get Started with the Model
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+ Use the code below to get started with the model.
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+ [More Information Needed]
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+ ## Training Details
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+ ### Training Data
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+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ [More Information Needed]
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+ ### Training Procedure
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+
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+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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+ #### Preprocessing [optional]
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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+ ## Evaluation
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+ <!-- This section describes the evaluation protocols and provides the results. -->
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+ ### Testing Data, Factors & Metrics
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+ #### Testing Data
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+ #### Factors
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+
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+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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+ #### Metrics
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ ## Technical Specifications [optional]
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+ ### Framework versions
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+
208
+ - PEFT 0.19.1
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+ ---
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+ base_model: /workspace/wave/parent
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - axolotl
7
+ - base_model:adapter:/workspace/wave/parent
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+ - lora
9
+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- Provide a quick summary of what the model is/does. -->
15
+
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+
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+
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+ ## Model Details
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+
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+ ### Model Description
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+
22
+ <!-- Provide a longer summary of what this model is. -->
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+
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+ - **Developed by:** [More Information Needed]
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+ - **Funded by [optional]:** [More Information Needed]
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29
+ - **Model type:** [More Information Needed]
30
+ - **Language(s) (NLP):** [More Information Needed]
31
+ - **License:** [More Information Needed]
32
+ - **Finetuned from model [optional]:** [More Information Needed]
33
+
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+ ### Model Sources [optional]
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37
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+ - **Repository:** [More Information Needed]
39
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+ - **Demo [optional]:** [More Information Needed]
41
+
42
+ ## Uses
43
+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
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+ ### Direct Use
47
+
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+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
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+ [More Information Needed]
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+
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+ ### Downstream Use [optional]
53
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54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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+ [More Information Needed]
57
+
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+ ### Out-of-Scope Use
59
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+
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+ [More Information Needed]
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+
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+ ## Bias, Risks, and Limitations
65
+
66
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
67
+
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+ [More Information Needed]
69
+
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+ ### Recommendations
71
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+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
73
+
74
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
75
+
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+ ## How to Get Started with the Model
77
+
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+ Use the code below to get started with the model.
79
+
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+ [More Information Needed]
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+
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+ ## Training Details
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+
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+ ### Training Data
85
+
86
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
87
+
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+ [More Information Needed]
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+
90
+ ### Training Procedure
91
+
92
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
93
+
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+ #### Preprocessing [optional]
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+
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+ [More Information Needed]
97
+
98
+
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+ #### Training Hyperparameters
100
+
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
102
+
103
+ #### Speeds, Sizes, Times [optional]
104
+
105
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
106
+
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+ [More Information Needed]
108
+
109
+ ## Evaluation
110
+
111
+ <!-- This section describes the evaluation protocols and provides the results. -->
112
+
113
+ ### Testing Data, Factors & Metrics
114
+
115
+ #### Testing Data
116
+
117
+ <!-- This should link to a Dataset Card if possible. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Factors
122
+
123
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
124
+
125
+ [More Information Needed]
126
+
127
+ #### Metrics
128
+
129
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
130
+
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+ [More Information Needed]
132
+
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+ ### Results
134
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135
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136
+
137
+ #### Summary
138
+
139
+
140
+
141
+ ## Model Examination [optional]
142
+
143
+ <!-- Relevant interpretability work for the model goes here -->
144
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146
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147
+ ## Environmental Impact
148
+
149
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
150
+
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
152
+
153
+ - **Hardware Type:** [More Information Needed]
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+ - **Hours used:** [More Information Needed]
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+ - **Cloud Provider:** [More Information Needed]
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+ - **Compute Region:** [More Information Needed]
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+ - **Carbon Emitted:** [More Information Needed]
158
+
159
+ ## Technical Specifications [optional]
160
+
161
+ ### Model Architecture and Objective
162
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163
+ [More Information Needed]
164
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+ ### Compute Infrastructure
166
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+ [More Information Needed]
168
+
169
+ #### Hardware
170
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171
+ [More Information Needed]
172
+
173
+ #### Software
174
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175
+ [More Information Needed]
176
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177
+ ## Citation [optional]
178
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179
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
180
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181
+ **BibTeX:**
182
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183
+ [More Information Needed]
184
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185
+ **APA:**
186
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188
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+ ## Glossary [optional]
190
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191
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
192
+
193
+ [More Information Needed]
194
+
195
+ ## More Information [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Authors [optional]
200
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201
+ [More Information Needed]
202
+
203
+ ## Model Card Contact
204
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205
+ [More Information Needed]
206
+ ### Framework versions
207
+
208
+ - PEFT 0.19.1
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+ ---
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+ base_model: /workspace/wave/parent
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+ library_name: peft
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+ pipeline_tag: text-generation
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+ tags:
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+ - axolotl
7
+ - base_model:adapter:/workspace/wave/parent
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+ - lora
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+ - transformers
10
+ ---
11
+
12
+ # Model Card for Model ID
13
+
14
+ <!-- Provide a quick summary of what the model is/does. -->
15
+
16
+
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+
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+ ## Model Details
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+
20
+ ### Model Description
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+
22
+ <!-- Provide a longer summary of what this model is. -->
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+
24
+
25
+
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+ - **Developed by:** [More Information Needed]
27
+ - **Funded by [optional]:** [More Information Needed]
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+ - **Shared by [optional]:** [More Information Needed]
29
+ - **Model type:** [More Information Needed]
30
+ - **Language(s) (NLP):** [More Information Needed]
31
+ - **License:** [More Information Needed]
32
+ - **Finetuned from model [optional]:** [More Information Needed]
33
+
34
+ ### Model Sources [optional]
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+
36
+ <!-- Provide the basic links for the model. -->
37
+
38
+ - **Repository:** [More Information Needed]
39
+ - **Paper [optional]:** [More Information Needed]
40
+ - **Demo [optional]:** [More Information Needed]
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+
42
+ ## Uses
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+
44
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
45
+
46
+ ### Direct Use
47
+
48
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
49
+
50
+ [More Information Needed]
51
+
52
+ ### Downstream Use [optional]
53
+
54
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
55
+
56
+ [More Information Needed]
57
+
58
+ ### Out-of-Scope Use
59
+
60
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
61
+
62
+ [More Information Needed]
63
+
64
+ ## Bias, Risks, and Limitations
65
+
66
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
67
+
68
+ [More Information Needed]
69
+
70
+ ### Recommendations
71
+
72
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
73
+
74
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
75
+
76
+ ## How to Get Started with the Model
77
+
78
+ Use the code below to get started with the model.
79
+
80
+ [More Information Needed]
81
+
82
+ ## Training Details
83
+
84
+ ### Training Data
85
+
86
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
87
+
88
+ [More Information Needed]
89
+
90
+ ### Training Procedure
91
+
92
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
93
+
94
+ #### Preprocessing [optional]
95
+
96
+ [More Information Needed]
97
+
98
+
99
+ #### Training Hyperparameters
100
+
101
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
102
+
103
+ #### Speeds, Sizes, Times [optional]
104
+
105
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
106
+
107
+ [More Information Needed]
108
+
109
+ ## Evaluation
110
+
111
+ <!-- This section describes the evaluation protocols and provides the results. -->
112
+
113
+ ### Testing Data, Factors & Metrics
114
+
115
+ #### Testing Data
116
+
117
+ <!-- This should link to a Dataset Card if possible. -->
118
+
119
+ [More Information Needed]
120
+
121
+ #### Factors
122
+
123
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
124
+
125
+ [More Information Needed]
126
+
127
+ #### Metrics
128
+
129
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
130
+
131
+ [More Information Needed]
132
+
133
+ ### Results
134
+
135
+ [More Information Needed]
136
+
137
+ #### Summary
138
+
139
+
140
+
141
+ ## Model Examination [optional]
142
+
143
+ <!-- Relevant interpretability work for the model goes here -->
144
+
145
+ [More Information Needed]
146
+
147
+ ## Environmental Impact
148
+
149
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
150
+
151
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
152
+
153
+ - **Hardware Type:** [More Information Needed]
154
+ - **Hours used:** [More Information Needed]
155
+ - **Cloud Provider:** [More Information Needed]
156
+ - **Compute Region:** [More Information Needed]
157
+ - **Carbon Emitted:** [More Information Needed]
158
+
159
+ ## Technical Specifications [optional]
160
+
161
+ ### Model Architecture and Objective
162
+
163
+ [More Information Needed]
164
+
165
+ ### Compute Infrastructure
166
+
167
+ [More Information Needed]
168
+
169
+ #### Hardware
170
+
171
+ [More Information Needed]
172
+
173
+ #### Software
174
+
175
+ [More Information Needed]
176
+
177
+ ## Citation [optional]
178
+
179
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
180
+
181
+ **BibTeX:**
182
+
183
+ [More Information Needed]
184
+
185
+ **APA:**
186
+
187
+ [More Information Needed]
188
+
189
+ ## Glossary [optional]
190
+
191
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
192
+
193
+ [More Information Needed]
194
+
195
+ ## More Information [optional]
196
+
197
+ [More Information Needed]
198
+
199
+ ## Model Card Authors [optional]
200
+
201
+ [More Information Needed]
202
+
203
+ ## Model Card Contact
204
+
205
+ [More Information Needed]
206
+ ### Framework versions
207
+
208
+ - PEFT 0.19.1
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