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<h1>Source code for tensorrt_llm.models.chatglm.config</h1><div class="highlight"><pre>
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<span></span><span class="c1"># SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.</span>
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<span class="c1"># SPDX-License-Identifier: Apache-2.0</span>
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<span class="c1">#</span>
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<span class="c1"># Licensed under the Apache License, Version 2.0 (the "License");</span>
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<span class="c1"># you may not use this file except in compliance with the License.</span>
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<span class="c1"># You may obtain a copy of the License at</span>
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<span class="c1">#</span>
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<span class="c1"># http://www.apache.org/licenses/LICENSE-2.0</span>
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<span class="c1">#</span>
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<span class="c1"># Unless required by applicable law or agreed to in writing, software</span>
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<span class="c1"># distributed under the License is distributed on an "AS IS" BASIS,</span>
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<span class="c1"># WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span>
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<span class="c1"># See the License for the specific language governing permissions and</span>
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<span class="c1"># limitations under the License.</span>
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<span class="kn">from</span> <span class="nn">typing</span> <span class="kn">import</span> <span class="n">Optional</span><span class="p">,</span> <span class="n">Union</span>
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<span class="kn">from</span> <span class="nn">...mapping</span> <span class="kn">import</span> <span class="n">Mapping</span>
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<span class="kn">from</span> <span class="nn">..convert_utils</span> <span class="kn">import</span> <span class="n">infer_dtype</span>
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<span class="kn">from</span> <span class="nn">..modeling_utils</span> <span class="kn">import</span> <span class="n">PretrainedConfig</span><span class="p">,</span> <span class="n">QuantConfig</span>
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<span class="n">GLM_VERSIONS</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'glm4'</span><span class="p">,</span> <span class="s1">'chatglm3'</span><span class="p">,</span> <span class="s1">'chatglm2'</span><span class="p">,</span> <span class="s1">'chatglm'</span><span class="p">,</span> <span class="s1">'glm'</span><span class="p">]</span>
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<span class="n">GLM_ARCH1_VERSIONS</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'chatglm'</span><span class="p">,</span> <span class="s1">'glm'</span><span class="p">]</span>
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<span class="n">GLM_ARCH2_VERSIONS</span> <span class="o">=</span> <span class="p">[</span><span class="s1">'glm4'</span><span class="p">,</span> <span class="s1">'chatglm3'</span><span class="p">,</span> <span class="s1">'chatglm2'</span><span class="p">]</span>
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<div class="viewcode-block" id="ChatGLMConfig">
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<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.ChatGLMConfig">[docs]</a>
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<span class="k">class</span> <span class="nc">ChatGLMConfig</span><span class="p">(</span><span class="n">PretrainedConfig</span><span class="p">):</span>
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<span class="k">def</span> <span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span>
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<span class="o">*</span><span class="p">,</span>
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<span class="n">chatglm_version</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'chatglm3'</span><span class="p">,</span>
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<span class="n">add_bias_linear</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
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<span class="n">add_qkv_bias</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
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<span class="n">apply_query_key_layer_scaling</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
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<span class="n">apply_residual_connection_post_layernorm</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">False</span><span class="p">,</span>
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<span class="n">rmsnorm</span><span class="p">:</span> <span class="nb">bool</span> <span class="o">=</span> <span class="kc">True</span><span class="p">,</span>
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<span class="n">rotary_pct</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">0.5</span><span class="p">,</span>
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<span class="n">rotary_base</span><span class="p">:</span> <span class="nb">float</span> <span class="o">=</span> <span class="mf">10000.0</span><span class="p">,</span>
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<span class="n">rotary_scaling</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="nb">dict</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
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<span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">chatglm_version</span> <span class="o">=</span> <span class="n">chatglm_version</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">add_bias_linear</span> <span class="o">=</span> <span class="n">add_bias_linear</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">add_qkv_bias</span> <span class="o">=</span> <span class="n">add_qkv_bias</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">apply_query_key_layer_scaling</span> <span class="o">=</span> <span class="n">apply_query_key_layer_scaling</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">apply_residual_connection_post_layernorm</span> <span class="o">=</span> <span class="n">apply_residual_connection_post_layernorm</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">rmsnorm</span> <span class="o">=</span> <span class="n">rmsnorm</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">rotary_pct</span> <span class="o">=</span> <span class="n">rotary_pct</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">rotary_base</span> <span class="o">=</span> <span class="n">rotary_base</span>
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<span class="bp">self</span><span class="o">.</span><span class="n">rotary_scaling</span> <span class="o">=</span> <span class="n">rotary_scaling</span>
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<span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">(</span><span class="o">**</span><span class="n">kwargs</span><span class="p">)</span>
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<div class="viewcode-block" id="ChatGLMConfig.to_dict">
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<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.ChatGLMConfig.to_dict">[docs]</a>
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<span class="k">def</span> <span class="nf">to_dict</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
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<span class="n">output</span> <span class="o">=</span> <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="n">to_dict</span><span class="p">()</span>
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<span class="c1"># Serialize the fields added in ChatGLMConfig</span>
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<span class="n">output</span><span class="p">[</span><span class="s1">'chatglm_version'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">chatglm_version</span>
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<span class="n">output</span><span class="p">[</span><span class="s1">'add_bias_linear'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">add_bias_linear</span>
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<span class="n">output</span><span class="p">[</span><span class="s1">'add_qkv_bias'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">add_qkv_bias</span>
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<span class="n">output</span><span class="p">[</span>
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<span class="s1">'apply_query_key_layer_scaling'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">apply_query_key_layer_scaling</span>
|
|
<span class="n">output</span><span class="p">[</span>
|
|
<span class="s1">'apply_residual_connection_post_layernorm'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">apply_residual_connection_post_layernorm</span>
|
|
<span class="n">output</span><span class="p">[</span><span class="s1">'rmsnorm'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rmsnorm</span>
|
|
<span class="n">output</span><span class="p">[</span><span class="s1">'rotary_pct'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rotary_pct</span>
|
|
<span class="n">output</span><span class="p">[</span><span class="s1">'rotary_base'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rotary_base</span>
|
|
<span class="n">output</span><span class="p">[</span><span class="s1">'rotary_scaling'</span><span class="p">]</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">rotary_scaling</span>
|
|
<span class="k">return</span> <span class="n">output</span></div>
|
|
|
|
|
|
<div class="viewcode-block" id="ChatGLMConfig.from_hugging_face">
|
|
<a class="viewcode-back" href="../../../../python-api/tensorrt_llm.models.html#tensorrt_llm.models.ChatGLMConfig.from_hugging_face">[docs]</a>
|
|
<span class="nd">@classmethod</span>
|
|
<span class="k">def</span> <span class="nf">from_hugging_face</span><span class="p">(</span>
|
|
<span class="bp">cls</span><span class="p">,</span>
|
|
<span class="n">hf_config_or_dir</span><span class="p">:</span> <span class="n">Union</span><span class="p">[</span><span class="nb">str</span><span class="p">,</span> <span class="s1">'transformers.PretrainedConfig'</span><span class="p">],</span>
|
|
<span class="n">dtype</span><span class="p">:</span> <span class="nb">str</span> <span class="o">=</span> <span class="s1">'auto'</span><span class="p">,</span>
|
|
<span class="n">mapping</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">Mapping</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
|
<span class="n">quant_config</span><span class="p">:</span> <span class="n">Optional</span><span class="p">[</span><span class="n">QuantConfig</span><span class="p">]</span> <span class="o">=</span> <span class="kc">None</span><span class="p">,</span>
|
|
<span class="o">**</span><span class="n">kwargs</span><span class="p">):</span>
|
|
<span class="kn">import</span> <span class="nn">transformers</span>
|
|
<span class="n">trust_remote_code</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'trust_remote_code'</span><span class="p">,</span> <span class="kc">True</span><span class="p">)</span>
|
|
|
|
<span class="c1"># load hugging face config</span>
|
|
<span class="k">if</span> <span class="nb">isinstance</span><span class="p">(</span><span class="n">hf_config_or_dir</span><span class="p">,</span> <span class="n">transformers</span><span class="o">.</span><span class="n">PretrainedConfig</span><span class="p">):</span>
|
|
<span class="n">hf_config</span> <span class="o">=</span> <span class="n">hf_config_or_dir</span>
|
|
<span class="k">else</span><span class="p">:</span>
|
|
<span class="n">hf_config_dir</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">hf_config_or_dir</span><span class="p">)</span>
|
|
<span class="n">hf_config</span> <span class="o">=</span> <span class="n">transformers</span><span class="o">.</span><span class="n">AutoConfig</span><span class="o">.</span><span class="n">from_pretrained</span><span class="p">(</span>
|
|
<span class="n">hf_config_dir</span><span class="p">,</span> <span class="n">trust_remote_code</span><span class="o">=</span><span class="n">trust_remote_code</span><span class="p">)</span>
|
|
|
|
<span class="n">logits_dtype</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'logits_dtype'</span><span class="p">,</span> <span class="s1">'float32'</span><span class="p">)</span>
|
|
<span class="n">use_parallel_embedding</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'use_parallel_embedding'</span><span class="p">,</span> <span class="kc">False</span><span class="p">)</span>
|
|
<span class="n">embedding_sharding_dim</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'embedding_sharding_dim'</span><span class="p">,</span> <span class="mi">0</span><span class="p">)</span>
|
|
<span class="n">chatglm_version</span> <span class="o">=</span> <span class="n">kwargs</span><span class="o">.</span><span class="n">pop</span><span class="p">(</span><span class="s1">'chatglm_version'</span><span class="p">,</span> <span class="kc">None</span><span class="p">)</span>
|
|
|
|
<span class="c1"># get chatglm version</span>
|
|
<span class="k">if</span> <span class="n">chatglm_version</span> <span class="ow">is</span> <span class="kc">None</span><span class="p">:</span>
|
|
<span class="nb">print</span><span class="p">(</span><span class="s2">"Inferring chatglm version from path..."</span><span class="p">)</span>
|
|
<span class="k">for</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">GLM_VERSIONS</span><span class="p">:</span>
|
|
<span class="k">if</span> <span class="n">v</span> <span class="ow">in</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">_name_or_path</span><span class="p">:</span>
|
|
<span class="n">chatglm_version</span> <span class="o">=</span> <span class="n">v</span>
|
|
<span class="k">break</span>
|
|
<span class="k">if</span> <span class="s1">'glm_4'</span> <span class="ow">in</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">_name_or_path</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s2">"-"</span><span class="p">,</span> <span class="s2">"_"</span><span class="p">):</span>
|
|
<span class="n">chatglm_version</span> <span class="o">=</span> <span class="s1">'glm4'</span>
|
|
<span class="k">assert</span> <span class="n">chatglm_version</span> <span class="ow">in</span> <span class="n">GLM_VERSIONS</span>
|
|
<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Chatglm version: </span><span class="si">{</span><span class="n">chatglm_version</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
|
|
|
|
<span class="k">if</span> <span class="n">chatglm_version</span> <span class="o">==</span> <span class="s1">'glm'</span><span class="p">:</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">num_kv_heads</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">num_attention_heads</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">ffn_hidden_size</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">hidden_size</span> <span class="o">*</span> <span class="mi">4</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">hidden_act</span> <span class="o">=</span> <span class="s1">'gelu'</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">layernorm_epsilon</span> <span class="o">=</span> <span class="mf">1e-5</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">max_position_embeddings</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">max_sequence_length</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">add_bias_linear</span> <span class="o">=</span> <span class="kc">True</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">add_qkv_bias</span> <span class="o">=</span> <span class="kc">True</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">apply_query_key_layer_scaling</span> <span class="o">=</span> <span class="kc">False</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">apply_residual_connection_post_layernorm</span> <span class="o">=</span> <span class="kc">False</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">rmsnorm</span> <span class="o">=</span> <span class="kc">False</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">rope_ratio</span> <span class="o">=</span> <span class="mf">1.0</span>
|
|
<span class="k">elif</span> <span class="n">chatglm_version</span> <span class="o">==</span> <span class="s1">'chatglm'</span><span class="p">:</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">num_kv_heads</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">num_attention_heads</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">ffn_hidden_size</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">inner_hidden_size</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">hidden_act</span> <span class="o">=</span> <span class="s1">'gelu'</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">max_position_embeddings</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">max_sequence_length</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">add_bias_linear</span> <span class="o">=</span> <span class="kc">True</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">add_qkv_bias</span> <span class="o">=</span> <span class="kc">True</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">apply_query_key_layer_scaling</span> <span class="o">=</span> <span class="kc">False</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">apply_residual_connection_post_layernorm</span> <span class="o">=</span> <span class="kc">False</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">rmsnorm</span> <span class="o">=</span> <span class="kc">False</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">rope_ratio</span> <span class="o">=</span> <span class="mf">1.0</span>
|
|
<span class="k">else</span><span class="p">:</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">vocab_size</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">padded_vocab_size</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">num_kv_heads</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">multi_query_group_num</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">hidden_act</span> <span class="o">=</span> <span class="s1">'swiglu'</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">max_position_embeddings</span> <span class="o">=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">seq_length</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">rmsnorm</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">hf_config</span><span class="p">,</span> <span class="s1">'rmsnorm'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
|
|
<span class="n">hf_config</span><span class="o">.</span><span class="n">rope_ratio</span> <span class="o">=</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">hf_config</span><span class="p">,</span> <span class="s1">'rope_ratio'</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
|
|
|
|
<span class="k">if</span> <span class="n">chatglm_version</span> <span class="o">==</span> <span class="s1">'glm'</span><span class="p">:</span>
|
|
<span class="n">position_embedding_type</span> <span class="o">=</span> <span class="s1">'learned_absolute'</span>
|
|
<span class="k">elif</span> <span class="n">chatglm_version</span> <span class="o">==</span> <span class="s1">'chatglm'</span><span class="p">:</span>
|
|
<span class="n">position_embedding_type</span> <span class="o">=</span> <span class="s1">'chatglm'</span>
|
|
<span class="k">elif</span> <span class="n">chatglm_version</span> <span class="ow">in</span> <span class="n">GLM_ARCH2_VERSIONS</span><span class="p">:</span>
|
|
<span class="n">position_embedding_type</span> <span class="o">=</span> <span class="s1">'rope_gptj'</span>
|
|
|
|
<span class="n">rotary_base</span> <span class="o">=</span> <span class="mf">10000.0</span>
|
|
<span class="n">rotary_embedding_scaling</span> <span class="o">=</span> <span class="kc">None</span>
|
|
<span class="k">if</span> <span class="n">chatglm_version</span> <span class="o">==</span> <span class="s1">'chatglm2'</span><span class="p">:</span>
|
|
<span class="k">if</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">rope_ratio</span> <span class="o">></span> <span class="mi">1</span><span class="p">:</span>
|
|
<span class="n">rotary_embedding_scaling</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="s1">'type'</span><span class="p">:</span> <span class="s1">'linear'</span><span class="p">,</span>
|
|
<span class="s1">'factor'</span><span class="p">:</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">rope_ratio</span>
|
|
<span class="p">}</span>
|
|
<span class="k">elif</span> <span class="n">chatglm_version</span> <span class="o">==</span> <span class="s1">'chatglm3'</span> <span class="ow">or</span> <span class="n">chatglm_version</span> <span class="o">==</span> <span class="s1">'glm4'</span><span class="p">:</span>
|
|
<span class="n">rotary_base</span> <span class="o">*=</span> <span class="n">hf_config</span><span class="o">.</span><span class="n">rope_ratio</span>
|
|
|
|
<span class="n">dtype</span> <span class="o">=</span> <span class="n">infer_dtype</span><span class="p">(</span><span class="n">dtype</span><span class="p">,</span> <span class="nb">getattr</span><span class="p">(</span><span class="n">hf_config</span><span class="p">,</span> <span class="s1">'torch_dtype'</span><span class="p">,</span> <span class="kc">None</span><span class="p">))</span>
|
|
|
|
<span class="k">return</span> <span class="bp">cls</span><span class="p">(</span>
|
|
<span class="n">architecture</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">architectures</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span>
|
|
<span class="n">dtype</span><span class="o">=</span><span class="n">dtype</span><span class="p">,</span>
|
|
<span class="n">logits_dtype</span><span class="o">=</span><span class="n">logits_dtype</span><span class="p">,</span>
|
|
<span class="n">num_hidden_layers</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">num_layers</span><span class="p">,</span>
|
|
<span class="n">num_attention_heads</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">num_attention_heads</span><span class="p">,</span>
|
|
<span class="n">num_key_value_heads</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">num_kv_heads</span><span class="p">,</span>
|
|
<span class="n">hidden_size</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">hidden_size</span><span class="p">,</span>
|
|
<span class="n">intermediate_size</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">ffn_hidden_size</span><span class="p">,</span>
|
|
<span class="n">norm_epsilon</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">layernorm_epsilon</span><span class="p">,</span>
|
|
<span class="n">vocab_size</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">vocab_size</span><span class="p">,</span>
|
|
<span class="n">position_embedding_type</span><span class="o">=</span><span class="n">position_embedding_type</span><span class="p">,</span>
|
|
<span class="n">max_position_embeddings</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">max_position_embeddings</span><span class="p">,</span>
|
|
<span class="n">rotary_pct</span><span class="o">=</span><span class="mf">0.5</span><span class="p">,</span>
|
|
<span class="n">rotary_base</span><span class="o">=</span><span class="n">rotary_base</span><span class="p">,</span>
|
|
<span class="n">rotary_scaling</span><span class="o">=</span><span class="n">rotary_embedding_scaling</span><span class="p">,</span>
|
|
<span class="n">hidden_act</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">hidden_act</span><span class="p">,</span>
|
|
<span class="n">use_parallel_embedding</span><span class="o">=</span><span class="n">use_parallel_embedding</span><span class="p">,</span>
|
|
<span class="n">embedding_sharding_dim</span><span class="o">=</span><span class="n">embedding_sharding_dim</span><span class="p">,</span>
|
|
<span class="n">quantization</span><span class="o">=</span><span class="n">quant_config</span><span class="p">,</span>
|
|
<span class="n">mapping</span><span class="o">=</span><span class="n">mapping</span><span class="p">,</span>
|
|
<span class="n">chatglm_version</span><span class="o">=</span><span class="n">chatglm_version</span><span class="p">,</span>
|
|
<span class="n">add_bias_linear</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">add_bias_linear</span><span class="p">,</span>
|
|
<span class="n">add_qkv_bias</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">add_qkv_bias</span><span class="p">,</span>
|
|
<span class="n">apply_query_key_layer_scaling</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span>
|
|
<span class="n">apply_residual_connection_post_layernorm</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span>
|
|
<span class="n">apply_residual_connection_post_layernorm</span><span class="p">,</span>
|
|
<span class="n">rmsnorm</span><span class="o">=</span><span class="n">hf_config</span><span class="o">.</span><span class="n">rmsnorm</span><span class="p">,</span>
|
|
<span class="p">)</span></div>
|
|
</div>
|
|
|
|
</pre></div>
|
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</div>
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</div>
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