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convert : support rope_scaling type and rope_type - #13349

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cisc/convert-rope-type
May 8, 2025
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CISC merged 3 commits into
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cisc/convert-rope-type

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@CISC CISC commented May 7, 2025

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At some point transformers renamed rope_scaling type to rope_type, so support both.

@github-actions github-actions Bot added the python python script changes label May 7, 2025
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CISC requested a review from ngxson May 7, 2025 07:17
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ngxson commented May 7, 2025 •

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The same code is copied in multiple places, so I think it's better to group them into a new function like self.set_rope_config()

Edit: or we can extend self.set_gguf_parameters() to support this

Btw, which model(s) you have been testing with?

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CISC commented May 7, 2025

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The problem with extending the base set_gguf_parameters method is that you will have to merge all special cases, like f.ex. DeepseekV2Model, it can get messy.

I tested with a few models I still had the original files for, not every single one I touched, but I'm fairly sure I didn't break anything. :)

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I still think having this as a dedicated function like self.set_rope_config() will make it easier to maintain. We can optionally check if rope_scaling["factor"] has a good value (i.e. non-null), but it's up to you anyway.

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CISC commented May 8, 2025

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I absolutely agree, but I worry about the special cases. :)

I'll see what I can do...

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CISC commented May 8, 2025

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I will merge this as-is for now and make a new PR later.

Deduplication of the rope code requires careful thought (I think we also can deduplicate the llama3 rope_freqs calculations).

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CISC merged commit 1a844be into master May 8, 2025
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CISC deleted the cisc/convert-rope-type branch May 8, 2025 13:34
gabe-l-hart added a commit to gabe-l-hart/llama.cpp that referenced this pull request May 9, 2025
* origin/master: (39 commits)
server : vision support via libmtmd (ggml-org#12898)
sycl : implementation of reordered Q4_0 MMVQ for Intel GPUs (ggml-org#12858)
metal : optimize MoE for large batches (ggml-org#13388)
CUDA: FA support for Deepseek (Ampere or newer) (ggml-org#13306)
llama : do not crash if there is no CPU backend (ggml-org#13395)
CUDA: fix crash on large batch size for MoE models (ggml-org#13384)
imatrix : Add --parse-special for enabling parsing of special tokens in imatrix calculation (ggml-org#13389)
llama-run: add support for downloading models from ModelScope (ggml-org#13370)
mtmd : fix batch_view for m-rope (ggml-org#13397)
llama : one-off chat template fix for Mistral-Small-2503 (ggml-org#13398)
rpc : add rpc_msg_set_tensor_hash_req (ggml-org#13353)
vulkan: Allow up to 4096 elements for mul_mat_id row_ids (ggml-org#13326)
server : (webui) rename has_multimodal --> modalities (ggml-org#13393)
ci : limit write permission to only the release step + fixes (ggml-org#13392)
mtmd : Expose helper_decode_image_chunk (ggml-org#13366)
server : (webui) fix a very small misalignment (ggml-org#13387)
server : (webui) revamp the input area, plus many small UI improvements (ggml-org#13365)
convert : support rope_scaling type and rope_type (ggml-org#13349)
mtmd : fix the calculation of n_tokens for smolvlm (ggml-org#13381)
context : allow cache-less context for embeddings (ggml-org#13108)
...
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