Support for Llama-3_1-Nemotron-51B#10669
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I wonder if it's also a better idea not to group this with the normal llama archs since it requires so many changes, may be better to make it its own model type? |
I think src/llama.cpp doesn't change that much but convert_hf_to_gguf.py does have more changes. Anyway, I can make another fork to make it a separate model type and submit another pull request. What do you think about the vocab.py problem? Should I just leave the original vocab.py as is and ask people to fix tokenizer_config.json instead? |
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Created a separate Deci Model. This version doesn't change vocab.py and relies on people manually fixing 51B model's tokenizer_config.json. |
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Any updates? |
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| if (n_head == 0) // attention-free layer of Llama-3_1-Nemotron-51B | |
| cur = inpL; | |
| else { | |
| if (n_head == 0) { // attention-free layer of Llama-3_1-Nemotron-51B | |
| cur = inpL; | |
| } else { |
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| } else if (n_head > 0) | |
| // self-attention | |
| { | |
| } else if (n_head > 0) { | |
| // self-attention |
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To fix editorconfig / flake8 tests, you need to modify your source code to remove trailing spaces / add new line. And to fix server CI, you need to merge latest commits from master branch |
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Can someone approve the workflows? |
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Yay! Finally passed all checks! :) |
| cur = llm_build_lora_mm(lctx, ctx0, model.layers[il].wo, cur); | ||
| cb(cur, "wo", il); | ||
| } else if (n_head > 0) { | ||
| // self-attention |
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| // self-attention | |
| // self-attention |
| const int64_t n_head_kv = hparams.n_head_kv(il); | ||
| const int64_t n_head = hparams.n_head(il); | ||
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| if (n_head == 0) { // attention-free layer of Llama-3_1-Nemotron-51B |
There was a problem hiding this comment.
| if (n_head == 0) { // attention-free layer of Llama-3_1-Nemotron-51B | |
| if (n_head == 0) { | |
| // attention-free layer of Llama-3_1-Nemotron-51B |
| cb(cur, "attn_norm", il); | ||
| } | ||
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| if (n_head > 0 && n_head_kv == 0) { // "linear attention" of Llama-3_1-Nemotron-51B |
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| if (n_head > 0 && n_head_kv == 0) { // "linear attention" of Llama-3_1-Nemotron-51B | |
| if (n_head > 0 && n_head_kv == 0) { | |
| // "linear attention" of Llama-3_1-Nemotron-51B |
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
* conflict resolution * move comments after bracket to its own line
5 participants
Make sure to read the contributing guidelines before submitting a PR
More details is here:
#10648
Seems like my changes in vocab.py doesn't really break CI test.
It might be a better idea to not to modify vocab.py but instead ask the user to fix the tokenizer_config.json instead. In that case, you can ignore the changes I made in vocab.py.