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Running
on
CPU Upgrade
force-model-revision (#739)
Browse files- force model revision (57c0f9dfbe67b70f38fc043584f90c0beb3735f7)
- updated submission page (64b7504d20d94bc4605c0b0f7c0b1e8568a3488e)
- src/display/about.py +1 -0
- src/scripts/create_request_file.py +1 -1
- src/submission/submit.py +1 -1
src/display/about.py
CHANGED
@@ -205,6 +205,7 @@ When we add extra information about models to the leaderboard, it will be automa
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### 5) Select the correct precision
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Not all models are converted properly from `float16` to `bfloat16`, and selecting the wrong precision can sometimes cause evaluation error (as loading a `bf16` model in `fp16` can sometimes generate NaNs, depending on the weight range).
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## Model types
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{icons}
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"""
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### 5) Select the correct precision
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Not all models are converted properly from `float16` to `bfloat16`, and selecting the wrong precision can sometimes cause evaluation error (as loading a `bf16` model in `fp16` can sometimes generate NaNs, depending on the weight range).
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+
<b>Note:</b> Please be advised that when submitting, git <b>branches</b> and <b>tags</b> will be strictly tied to the <b>specific commit</b> present at the time of submission. This ensures revision consistency.
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## Model types
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{icons}
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"""
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src/scripts/create_request_file.py
CHANGED
@@ -47,7 +47,7 @@ def main():
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eval_entry = {
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"model": model_name,
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"base_model": base_model,
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-
"revision":
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"private": False,
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"precision": precision,
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"weight_type": weight_type,
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eval_entry = {
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"model": model_name,
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"base_model": base_model,
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"revision": model_info.sha, # force to use the exact model commit
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"private": False,
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"precision": precision,
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"weight_type": weight_type,
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src/submission/submit.py
CHANGED
@@ -125,7 +125,7 @@ def add_new_eval(
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eval_entry = {
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"model": model,
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"base_model": base_model,
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-
"revision":
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"private": private,
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"precision": precision,
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"params": model_size,
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eval_entry = {
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"model": model,
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"base_model": base_model,
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+
"revision": model_info.sha, # force to use the exact model commit
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"private": private,
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"precision": precision,
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"params": model_size,
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