OUTPUT of Python run 1 of at most 300:
```
weight_tensors: 236
existing_edits: []
work_files: ['.kernel-replies', 'edited', 'eval_prompt_format.txt']
math count: 7275 fields: ['answer', 'id', 'level', 'problem', 'solution', 'source', 'subject']
levels: {'Level 5': 2187, 'Level 3': 1558, 'Level 4': 1652, 'Level 1': 556, 'Level 2': 1320, 'Level ?': 2}
subjects: {'algebra': 1726, 'counting_and_probability': 737, 'geometry': 799, 'intermediate_algebra': 1270, 'number_theory': 859, 'prealgebra': 1196, 'precalculus': 688}
example: {"id": "math_train_algebra_0", "problem": "Let \\[f(x) = \\left\\{\n\\begin{array}{cl} ax+3, &\\text{ if }x>2, \\\\\nx-5 &\\text{ if } -2 \\le x \\le 2, \\\\\n2x-b &\\text{ if } x <-2.\n\\end{array}\n\\right.\\]Find $a+b$ if the piecewise function is continuous (which means that its graph can be drawn w", "answer": "0"}
gsm count: 7469 fields: ['answer', 'id', 'problem', 'solution', 'source']
example: {"id": "gsm8k_train_0", "problem": "Natalia sold clips to 48 of her friends in April, and then she sold half as many clips in May. How many clips did Natalia sell altogether in April and May?", "answer": "72"}
prompt_format:
The evaluation prompt, exactly as the model sees it (thinking off), for a problem P:
PREFIX + P + SUFFIX, with
PREFIX = '<bos><start_of_turn>user\n'
SUFFIX = '\nPlease reason step by step, and put your final answer within \\boxed{}.<end_of_turn>\n<start_of_turn>model\n'
The model's answer follows SUFFIX directly. To score a text with a teacher-forced pass, send PREFIX + P + SUFFIX + answer as one raw text in "texts".

representative_weight_shapes:
model.layers.0.input_layernorm.weight (640,) rms: 13.630904
model.layers.0.mlp.down_proj.weight (640, 2048) rms: 0.021506
model.layers.0.mlp.gate_proj.weight (2048, 640) rms: 0.03903
model.layers.0.mlp.up_proj.weight (2048, 640) rms: 0.039093
model.layers.0.post_attention_layernorm.weight (640,) rms: 2.33749
model.layers.0.post_feedforward_layernorm.weight (640,) rms: 6.671874
model.layers.0.pre_feedforward_layernorm.weight (640,) rms: 5.191036
model.layers.0.self_attn.k_norm.weight (256,) rms: 1.289318
model.layers.0.self_attn.k_proj.weight (256, 640) rms: 0.039263
model.layers.0.self_attn.o_proj.weight (640, 1024) rms: 0.03697
model.layers.0.self_attn.q_norm.weight (256,) rms: 1.249811
model.layers.0.self_attn.q_proj.weight (1024, 640) rms: 0.038845
model.layers.0.self_attn.v_proj.weight (256, 640) rms: 0.039194
tokenizer_type: Tokenizer
'Inspection complete; no weights changed.'

```