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async0x42
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EVA-Qwen2.5-32B-v0.2-exl2_5.0bpw

Text Generation
Transformers
Safetensors
qwen2
Generated from Trainer
conversational
text-generation-inference
Inference Endpoints
5-bit
exl2
Model card Files Community
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  1. .gitattributes +1 -0
  2. README.md +431 -0
  3. added_tokens.json +24 -0
  4. config.json +39 -0
  5. generation_config.json +7 -0
  6. measurement.json +0 -0
  7. merges.txt +0 -0
  8. model.safetensors.index.json +778 -0
  9. output-00001-of-00003.safetensors +3 -0
  10. output-00002-of-00003.safetensors +3 -0
  11. output-00003-of-00003.safetensors +3 -0
  12. special_tokens_map.json +31 -0
  13. tokenizer.json +3 -0
  14. tokenizer_config.json +207 -0
  15. vocab.json +0 -0
.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ datasets:
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+ - anthracite-org/kalo-opus-instruct-22k-no-refusal
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+ - Nopm/Opus_WritingStruct
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+ - Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
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+ - Gryphe/Sonnet3.5-Charcard-Roleplay
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+ - Gryphe/ChatGPT-4o-Writing-Prompts
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+ - Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
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+ - Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
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+ - nothingiisreal/Reddit-Dirty-And-WritingPrompts
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+ - allura-org/Celeste-1.x-data-mixture
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+ - cognitivecomputations/dolphin-2.9.3
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+ base_model: Qwen/Qwen2.5-32B
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: EVA-Qwen2.5-32B-SFFT-v0.1
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+ results: []
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+ ---
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+
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+ # EVA Qwen2.5-32B v0.2
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+
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+ <p>
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+ A RP/storywriting specialist model, full-parameter finetune of Qwen2.5-32B on mixture of synthetic and natural data.<br>
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+ It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and "flavor" of the resulting model.<br>
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+ </p>
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+
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+ <p>Dedicated to Nev.</p>
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+
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+ <p><b>Version notes for 0.2</b>: Basically, reprocessed the whole dataset again, due to a severe mistake in previously used pipeline, which left the data poisoned with a lot of non-unicode characters. Now, no more weird generation artifacts, and more stability. Major kudos to Cahvay for his work on fixing this critical issue.</p>
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+
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+ <p>
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+ <p>Prompt format is ChatML.</p><br>
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+ <h3>Recommended sampler values:</h3>
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+ <ul>
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+ <li>Temperature: 1</li>
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+ <li>Min-P: 0.05</li>
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+ <li>Top-A: 0.2</li>
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+ <li>Repetition Penalty: 1.03</li>
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+ </ul>
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+
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+ <h3>Recommended SillyTavern presets (via CalamitousFelicitousness):</h3>
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+
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+ - [Context](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Context.json)
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+ - [Instruct and System Prompt](https://huggingface.co/EVA-UNIT-01/EVA-Yi-1.5-9B-32K-V1/blob/main/%5BChatML%5D%20Roleplay-v1.9%20Instruct.json)
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+ </p>
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+
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+ <p>
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+ <br>
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+ <h3>
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+ Training data:
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+ </h3>
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+ <ul>
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+ <li>Celeste 70B 0.1 data mixture minus Opus Instruct subset. See that model's <a href=https://huggingface.co/nothingiisreal/L3.1-70B-Celeste-V0.1-BF16>card</a> for details.</li>
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+ <li>Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.</li>
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+ <li>A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe</li>
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+ <li>A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe</li>
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+ <li>Synthstruct and SynthRP datasets by Epiculous</li>
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+ <li>A subset from Dolphin-2.9.3, including filtered version of not_samantha and a small subset of systemchat.</li>
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+ </ul>
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+ <h3>
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+ Training time and hardware:
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+ </h3>
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+ <ul><li>7 hours on 8xH100 SXM, provided by <a href=https://featherless.ai/>FeatherlessAI</a></li></ul><br>
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+ </p>
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+ <p>Model was created by Kearm, Auri and Cahvay.</p>
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+ <h4>Special thanks:</h4><ul>
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+ <li><b>to Cahvay for his work on investigating and reprocessing the corrupted dataset, removing the single biggest source of data poisoning.</b></li>
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+ <li><b>to <a href=https://featherless.ai/>FeatherlessAI</a> for generously providing 8xH100 SXM node for training of this model</b></li>
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+ <li>to Gryphe, Lemmy, Kalomaze, Nopm, Epiculous and CogninitiveComputations for the data</li>
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+ <li>and to Allura-org for support, feedback, beta-testing and doing quality control of EVA models.</li></ul>
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+
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+ [<img src="https://raw.githubusercontent.com/axolotl-ai-cloud/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/axolotl-ai-cloud/axolotl)
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+ <details><summary>See axolotl config</summary>
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+
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+ axolotl version: `0.4.1`
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+ ```yaml
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+ base_model: Qwen/Qwen2.5-32B
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+
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+ load_in_8bit: false
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+ load_in_4bit: false
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+ strict: false
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+
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+ plugins:
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+ - axolotl.integrations.liger.LigerPlugin
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+ liger_rope: true
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+ liger_rms_norm: true
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+ liger_swiglu: true
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+ liger_fused_linear_cross_entropy: true
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+
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+ # plugins:
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+ # - axolotl.integrations.spectrum.SpectrumPlugin
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+
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+ # spectrum_top_fraction: 0.5
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+ # # Optional if using a pre-scanned model as your base_model. Useful if using a model mirror
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+ # spectrum_model_name: Qwen/Qwen2.5-32B
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+
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+ datasets:
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+ - path: datasets/Celeste_Filtered_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/deduped_not_samantha_norefusals.jsonl
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+ type: sharegpt
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+ - path: datasets/deduped_SynthRP-Gens_processed_ShareGPT_converted_cleaned.jsonl
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+ type: sharegpt
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+ - path: datasets/deduped_Synthstruct-Gens_processed_sharegpt_converted_cleaned.jsonl
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+ type: sharegpt
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+ - path: datasets/Gryphe-4o-WP-filtered-sharegpt_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/opus-instruct-22k-no_refusals-filtered_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/Sonnet3-5-charcard-names-filtered-sharegpt_utf8fix.jsonl
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+ type: sharegpt
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+ - path: datasets/SystemChat_subset_filtered_sharegpt_utf8fix.jsonl
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+ type: sharegpt
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+
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+ chat_template: chatml
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+ shuffle_merged_datasets: true
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+ val_set_size: 0.001
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+ output_dir: ./EVA-Qwen2.5-32B-SFFT-v0.1
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+
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+ sequence_len: 10240
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+ sample_packing: true
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+ eval_sample_packing: false
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+ pad_to_sequence_len: true
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+
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+ # adapter: qlora
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+ # lora_model_dir:
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+ # lora_r: 64
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+ # lora_alpha: 128
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+ # lora_dropout: 0.05
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+ # lora_target_linear: true
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+ # peft_use_dora: true
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+
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+ unfrozen_parameters:
137
+ - ^lm_head.weight$
138
+ - ^model.embed_tokens.weight$
139
+ # mlp.down_proj layers
140
+ - model.layers.63.mlp.down_proj
141
+ - model.layers.49.mlp.down_proj
142
+ - model.layers.48.mlp.down_proj
143
+ - model.layers.45.mlp.down_proj
144
+ - model.layers.44.mlp.down_proj
145
+ - model.layers.47.mlp.down_proj
146
+ - model.layers.46.mlp.down_proj
147
+ - model.layers.43.mlp.down_proj
148
+ - model.layers.8.mlp.down_proj
149
+ - model.layers.11.mlp.down_proj
150
+ - model.layers.19.mlp.down_proj
151
+ - model.layers.35.mlp.down_proj
152
+ - model.layers.20.mlp.down_proj
153
+ - model.layers.52.mlp.down_proj
154
+ - model.layers.39.mlp.down_proj
155
+ - model.layers.62.mlp.down_proj
156
+ - model.layers.50.mlp.down_proj
157
+ - model.layers.29.mlp.down_proj
158
+ - model.layers.16.mlp.down_proj
159
+ - model.layers.28.mlp.down_proj
160
+ - model.layers.53.mlp.down_proj
161
+ - model.layers.30.mlp.down_proj
162
+ - model.layers.31.mlp.down_proj
163
+ - model.layers.32.mlp.down_proj
164
+ - model.layers.7.mlp.down_proj
165
+ - model.layers.36.mlp.down_proj
166
+ - model.layers.12.mlp.down_proj
167
+ - model.layers.18.mlp.down_proj
168
+ - model.layers.37.mlp.down_proj
169
+ - model.layers.38.mlp.down_proj
170
+ - model.layers.14.mlp.down_proj
171
+ - model.layers.13.mlp.down_proj
172
+ # mlp.gate_proj layers
173
+ - model.layers.43.mlp.gate_proj
174
+ - model.layers.61.mlp.gate_proj
175
+ - model.layers.60.mlp.gate_proj
176
+ - model.layers.44.mlp.gate_proj
177
+ - model.layers.62.mlp.gate_proj
178
+ - model.layers.28.mlp.gate_proj
179
+ - model.layers.29.mlp.gate_proj
180
+ - model.layers.45.mlp.gate_proj
181
+ - model.layers.37.mlp.gate_proj
182
+ - model.layers.35.mlp.gate_proj
183
+ - model.layers.59.mlp.gate_proj
184
+ - model.layers.36.mlp.gate_proj
185
+ - model.layers.30.mlp.gate_proj
186
+ - model.layers.48.mlp.gate_proj
187
+ - model.layers.38.mlp.gate_proj
188
+ - model.layers.27.mlp.gate_proj
189
+ - model.layers.31.mlp.gate_proj
190
+ - model.layers.34.mlp.gate_proj
191
+ - model.layers.58.mlp.gate_proj
192
+ - model.layers.33.mlp.gate_proj
193
+ - model.layers.39.mlp.gate_proj
194
+ - model.layers.26.mlp.gate_proj
195
+ - model.layers.32.mlp.gate_proj
196
+ - model.layers.46.mlp.gate_proj
197
+ - model.layers.42.mlp.gate_proj
198
+ - model.layers.49.mlp.gate_proj
199
+ - model.layers.57.mlp.gate_proj
200
+ - model.layers.50.mlp.gate_proj
201
+ - model.layers.47.mlp.gate_proj
202
+ - model.layers.56.mlp.gate_proj
203
+ - model.layers.63.mlp.gate_proj
204
+ - model.layers.55.mlp.gate_proj
205
+ # mlp.up_proj layers
206
+ - model.layers.61.mlp.up_proj
207
+ - model.layers.60.mlp.up_proj
208
+ - model.layers.32.mlp.up_proj
209
+ - model.layers.59.mlp.up_proj
210
+ - model.layers.58.mlp.up_proj
211
+ - model.layers.57.mlp.up_proj
212
+ - model.layers.44.mlp.up_proj
213
+ - model.layers.28.mlp.up_proj
214
+ - model.layers.35.mlp.up_proj
215
+ - model.layers.36.mlp.up_proj
216
+ - model.layers.29.mlp.up_proj
217
+ - model.layers.31.mlp.up_proj
218
+ - model.layers.34.mlp.up_proj
219
+ - model.layers.55.mlp.up_proj
220
+ - model.layers.49.mlp.up_proj
221
+ - model.layers.30.mlp.up_proj
222
+ - model.layers.53.mlp.up_proj
223
+ - model.layers.43.mlp.up_proj
224
+ - model.layers.56.mlp.up_proj
225
+ - model.layers.33.mlp.up_proj
226
+ - model.layers.54.mlp.up_proj
227
+ - model.layers.62.mlp.up_proj
228
+ - model.layers.27.mlp.up_proj
229
+ - model.layers.51.mlp.up_proj
230
+ - model.layers.52.mlp.up_proj
231
+ - model.layers.37.mlp.up_proj
232
+ - model.layers.45.mlp.up_proj
233
+ - model.layers.26.mlp.up_proj
234
+ - model.layers.42.mlp.up_proj
235
+ - model.layers.50.mlp.up_proj
236
+ - model.layers.48.mlp.up_proj
237
+ - model.layers.39.mlp.up_proj
238
+ # self_attn.k_proj layers
239
+ - model.layers.63.self_attn.k_proj
240
+ - model.layers.55.self_attn.k_proj
241
+ - model.layers.60.self_attn.k_proj
242
+ - model.layers.7.self_attn.k_proj
243
+ - model.layers.12.self_attn.k_proj
244
+ - model.layers.13.self_attn.k_proj
245
+ - model.layers.57.self_attn.k_proj
246
+ - model.layers.29.self_attn.k_proj
247
+ - model.layers.14.self_attn.k_proj
248
+ - model.layers.51.self_attn.k_proj
249
+ - model.layers.53.self_attn.k_proj
250
+ - model.layers.54.self_attn.k_proj
251
+ - model.layers.22.self_attn.k_proj
252
+ - model.layers.61.self_attn.k_proj
253
+ - model.layers.18.self_attn.k_proj
254
+ - model.layers.30.self_attn.k_proj
255
+ - model.layers.9.self_attn.k_proj
256
+ - model.layers.24.self_attn.k_proj
257
+ - model.layers.23.self_attn.k_proj
258
+ - model.layers.25.self_attn.k_proj
259
+ - model.layers.10.self_attn.k_proj
260
+ - model.layers.58.self_attn.k_proj
261
+ - model.layers.56.self_attn.k_proj
262
+ - model.layers.15.self_attn.k_proj
263
+ - model.layers.32.self_attn.k_proj
264
+ - model.layers.28.self_attn.k_proj
265
+ - model.layers.8.self_attn.k_proj
266
+ - model.layers.59.self_attn.k_proj
267
+ - model.layers.11.self_attn.k_proj
268
+ - model.layers.48.self_attn.k_proj
269
+ - model.layers.16.self_attn.k_proj
270
+ - model.layers.50.self_attn.k_proj
271
+ # self_attn.o_proj layers
272
+ - model.layers.15.self_attn.o_proj
273
+ - model.layers.23.self_attn.o_proj
274
+ - model.layers.31.self_attn.o_proj
275
+ - model.layers.30.self_attn.o_proj
276
+ - model.layers.18.self_attn.o_proj
277
+ - model.layers.24.self_attn.o_proj
278
+ - model.layers.17.self_attn.o_proj
279
+ - model.layers.28.self_attn.o_proj
280
+ - model.layers.34.self_attn.o_proj
281
+ - model.layers.33.self_attn.o_proj
282
+ - model.layers.25.self_attn.o_proj
283
+ - model.layers.12.self_attn.o_proj
284
+ - model.layers.14.self_attn.o_proj
285
+ - model.layers.29.self_attn.o_proj
286
+ - model.layers.16.self_attn.o_proj
287
+ - model.layers.26.self_attn.o_proj
288
+ - model.layers.22.self_attn.o_proj
289
+ - model.layers.27.self_attn.o_proj
290
+ - model.layers.35.self_attn.o_proj
291
+ - model.layers.20.self_attn.o_proj
292
+ - model.layers.13.self_attn.o_proj
293
+ - model.layers.36.self_attn.o_proj
294
+ - model.layers.19.self_attn.o_proj
295
+ - model.layers.37.self_attn.o_proj
296
+ - model.layers.21.self_attn.o_proj
297
+ - model.layers.11.self_attn.o_proj
298
+ - model.layers.54.self_attn.o_proj
299
+ - model.layers.5.self_attn.o_proj
300
+ - model.layers.38.self_attn.o_proj
301
+ - model.layers.6.self_attn.o_proj
302
+ - model.layers.8.self_attn.o_proj
303
+ - model.layers.9.self_attn.o_proj
304
+ # self_attn.q_proj layers
305
+ - model.layers.1.self_attn.q_proj
306
+ - model.layers.2.self_attn.q_proj
307
+ - model.layers.3.self_attn.q_proj
308
+ - model.layers.45.self_attn.q_proj
309
+ - model.layers.54.self_attn.q_proj
310
+ - model.layers.35.self_attn.q_proj
311
+ - model.layers.48.self_attn.q_proj
312
+ - model.layers.61.self_attn.q_proj
313
+ - model.layers.52.self_attn.q_proj
314
+ - model.layers.50.self_attn.q_proj
315
+ - model.layers.60.self_attn.q_proj
316
+ - model.layers.56.self_attn.q_proj
317
+ - model.layers.58.self_attn.q_proj
318
+ - model.layers.42.self_attn.q_proj
319
+ - model.layers.59.self_attn.q_proj
320
+ - model.layers.44.self_attn.q_proj
321
+ - model.layers.55.self_attn.q_proj
322
+ - model.layers.57.self_attn.q_proj
323
+ - model.layers.41.self_attn.q_proj
324
+ - model.layers.36.self_attn.q_proj
325
+ - model.layers.39.self_attn.q_proj
326
+ - model.layers.4.self_attn.q_proj
327
+ - model.layers.43.self_attn.q_proj
328
+ - model.layers.34.self_attn.q_proj
329
+ - model.layers.46.self_attn.q_proj
330
+ - model.layers.49.self_attn.q_proj
331
+ - model.layers.40.self_attn.q_proj
332
+ - model.layers.25.self_attn.q_proj
333
+ - model.layers.51.self_attn.q_proj
334
+ - model.layers.17.self_attn.q_proj
335
+ - model.layers.37.self_attn.q_proj
336
+ - model.layers.53.self_attn.q_proj
337
+ # self_attn.v_proj layers
338
+ - model.layers.55.self_attn.v_proj
339
+ - model.layers.31.self_attn.v_proj
340
+ - model.layers.47.self_attn.v_proj
341
+ - model.layers.45.self_attn.v_proj
342
+ - model.layers.49.self_attn.v_proj
343
+ - model.layers.48.self_attn.v_proj
344
+ - model.layers.15.self_attn.v_proj
345
+ - model.layers.30.self_attn.v_proj
346
+ - model.layers.7.self_attn.v_proj
347
+ - model.layers.44.self_attn.v_proj
348
+ - model.layers.29.self_attn.v_proj
349
+ - model.layers.51.self_attn.v_proj
350
+ - model.layers.50.self_attn.v_proj
351
+ - model.layers.14.self_attn.v_proj
352
+ - model.layers.54.self_attn.v_proj
353
+ - model.layers.32.self_attn.v_proj
354
+ - model.layers.43.self_attn.v_proj
355
+ - model.layers.10.self_attn.v_proj
356
+ - model.layers.46.self_attn.v_proj
357
+ - model.layers.38.self_attn.v_proj
358
+ - model.layers.57.self_attn.v_proj
359
+ - model.layers.22.self_attn.v_proj
360
+ - model.layers.39.self_attn.v_proj
361
+ - model.layers.6.self_attn.v_proj
362
+ - model.layers.23.self_attn.v_proj
363
+ - model.layers.58.self_attn.v_proj
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+ - model.layers.53.self_attn.v_proj
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+ - model.layers.40.self_attn.v_proj
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+ - model.layers.24.self_attn.v_proj
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+ - model.layers.9.self_attn.v_proj
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+ - model.layers.25.self_attn.v_proj
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+ - model.layers.5.self_attn.v_proj
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+
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+
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+
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+ wandb_project: EVA-Qwen2.5-32B-SFFT-v0.2
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+ wandb_entity:
375
+ wandb_watch:
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+ wandb_name: Unit-02
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+ wandb_log_model:
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+
379
+ gradient_accumulation_steps: 8
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+ micro_batch_size: 1
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+ num_epochs: 3
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+ optimizer: paged_adamw_8bit
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+ lr_scheduler: cosine
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+ learning_rate: 0.00005
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+ max_grad_norm: 3
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+
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+ train_on_inputs: false
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+ group_by_length: false
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+ bf16: auto
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+ fp16:
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+ tf32: false
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+
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+ gradient_checkpointing: "unsloth"
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+ # gradient_checkpointing_kwargs:
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+ # use_reentrant: true
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+ early_stopping_patience:
397
+ resume_from_checkpoint:
398
+ local_rank:
399
+ logging_steps: 1
400
+ xformers_attention:
401
+ flash_attention: true
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+
403
+ warmup_steps: 20
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+ evals_per_epoch: 4
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+ saves_per_epoch: 4
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+ save_safetensors: true
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+ hub_model_id:
408
+ hub_strategy:
409
+ debug:
410
+ deepspeed: deepspeed_configs/zero3_bf16.json
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+ weight_decay: 0.1
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+ # fsdp:
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+ # - full_shard
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+ # - auto_wrap
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+ # fsdp_config:
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+ # fsdp_limit_all_gathers: true
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+ # fsdp_sync_module_states: false
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+ # fsdp_offload_params: true
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+ # fsdp_cpu_ram_efficient_loading: true
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+ # fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
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+ # fsdp_transformer_layer_cls_to_wrap: Qwen2DecoderLayer
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+ # fsdp_activation_checkpointing: true
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+ # fsdp_state_dict_type: SHARDED_STATE_DICT # Changed from FULL_STATE_DICT
424
+ # fsdp_sharding_strategy: FULL_SHARD
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+ # fsdp_forward_prefetch: false # Added
426
+ # fsdp_backward_prefetch: "BACKWARD_PRE" # Added
427
+ # fsdp_backward_prefetch_limit: 1 # Added
428
+ # fsdp_mixed_precision: BF16 # Added
429
+ ```
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+
431
+ </details><br>
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config.json ADDED
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+ {
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+ "Qwen2ForCausalLM"
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+ "max_position_embeddings": 131072,
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+ "max_window_layers": 64,
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+ "model_type": "qwen2",
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+ "num_attention_heads": 40,
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+ "num_hidden_layers": 64,
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+ "num_key_value_heads": 8,
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+ "rms_norm_eps": 1e-05,
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+ "rope_scaling": null,
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+ "rope_theta": 1000000.0,
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+ "sliding_window": null,
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+ "tie_word_embeddings": false,
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+ "torch_dtype": "bfloat16",
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+ "transformers_version": "4.45.1",
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+ "use_cache": false,
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+ "use_sliding_window": false,
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+ "vocab_size": 152064,
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+ "quantization_config": {
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+ "quant_method": "exl2",
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+ "version": "0.2.3",
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+ "bits": 5.0,
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+ "head_bits": 6,
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+ "calibration": {
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+ "rows": 115,
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+ "length": 2048,
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+ "dataset": "(default)"
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+ }
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+ }
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+ }
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+ "max_new_tokens": 2048,
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+ "transformers_version": "4.45.1"
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+ }
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