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add 128k yarn context for Qwen #10698

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Dec 7, 2024
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9 changes: 9 additions & 0 deletions convert_hf_to_gguf.py
Original file line number Diff line number Diff line change
Expand Up @@ -1989,6 +1989,15 @@ def set_vocab(self):
except FileNotFoundError:
self._set_vocab_gpt2()

def set_gguf_parameters(self):
super().set_gguf_parameters()
if self.hparams.get("rope_scaling") is not None and "factor" in self.hparams["rope_scaling"]:
if self.hparams["rope_scaling"].get("type") == "yarn":
self.gguf_writer.add_rope_scaling_type(gguf.RopeScalingType.YARN)
self.gguf_writer.add_rope_scaling_factor(self.hparams["rope_scaling"]["factor"])
self.gguf_writer.add_rope_scaling_orig_ctx_len(self.hparams["rope_scaling"]["original_max_position_embeddings"])
self.gguf_writer.add_rope_scaling_yarn_log_mul(0.1)
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@Model.register("Qwen2MoeForCausalLM")
class Qwen2MoeModel(Model):
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1 change: 1 addition & 0 deletions gguf-py/gguf/constants.py
Original file line number Diff line number Diff line change
Expand Up @@ -761,6 +761,7 @@ class MODEL_TENSOR(IntEnum):
MODEL_TENSOR.TOKEN_EMBD,
MODEL_TENSOR.OUTPUT_NORM,
MODEL_TENSOR.OUTPUT,
MODEL_TENSOR.ROPE_FREQS,
MODEL_TENSOR.ATTN_NORM,
MODEL_TENSOR.ATTN_Q,
MODEL_TENSOR.ATTN_K,
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