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Add support for Microsoft Phi-4 model #10817
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| Original file line number | Diff line number | Diff line change |
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@@ -5807,7 +5807,7 @@ static void llm_load_hparams( | |
| hparams.n_swa = 131072; | ||
| } | ||
| bool found_swa = ml.get_key(LLM_KV_ATTENTION_SLIDING_WINDOW, hparams.n_swa, false); | ||
| if (!found_swa && hparams.n_swa == 0) { | ||
| if (!found_swa && hparams.n_swa == 0 && model.name != "Phi 4") { | ||
| throw std::runtime_error("invalid value for sliding_window"); | ||
| } | ||
| } break; | ||
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@@ -12839,7 +12839,13 @@ struct llm_build_context { | |
| struct ggml_tensor * inp_pos = build_inp_pos(); | ||
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| // KQ_mask (mask for 1 head, it will be broadcasted to all heads) | ||
| struct ggml_tensor * KQ_mask_swa = build_inp_KQ_mask_swa(); | ||
| struct ggml_tensor * KQ_mask = nullptr; | ||
| if (model.name == "Phi 4") { | ||
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Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I think a better solution would be to check if
Collaborator
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. I modified my patch to explicitly store zero sliding_window in case it's null in config.json and use the zero value to distinguish Phi-4 from other PHI3-based models. |
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| // Phi-4 doesn't use sliding window attention | ||
| KQ_mask = build_inp_KQ_mask(); | ||
| } else { | ||
| KQ_mask = build_inp_KQ_mask_swa(); | ||
| } | ||
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| for (int il = 0; il < n_layer; ++il) { | ||
| auto residual = inpL; | ||
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@@ -12897,7 +12903,7 @@ struct llm_build_context { | |
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| cur = llm_build_kv(ctx0, lctx, kv_self, gf, | ||
| model.layers[il].wo, model.layers[il].bo, | ||
| Kcur, Vcur, Qcur, KQ_mask_swa, n_tokens, kv_head, n_kv, 1.0f, cb, il); | ||
| Kcur, Vcur, Qcur, KQ_mask, n_tokens, kv_head, n_kv, 1.0f, cb, il); | ||
| } | ||
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| if (il == n_layer - 1) { | ||
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Alternatively,
self._set_vocab_gpt2()could be called whentokenizer.modelis missing here, regardless of the model name.There was a problem hiding this comment.
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I modified the solution to check value of tokenizer_class from tokenizer_config.json and call
self._set_vocab_gpt2()if it's GPT2Tokenizer.