Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- EV01.json +143 -0
- LICENSE +0 -0
- README.md +512 -0
- added_tokens.json +24 -0
- config.json +39 -0
- generation_config.json +7 -0
- measurement.json +0 -0
- merges.txt +0 -0
- model.safetensors.index.json +970 -0
- output-00001-of-00005.safetensors +3 -0
- output-00002-of-00005.safetensors +3 -0
- output-00003-of-00005.safetensors +3 -0
- output-00004-of-00005.safetensors +3 -0
- output-00005-of-00005.safetensors +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +0 -0
- tokenizer_config.json +207 -0
- vocab.json +0 -0
.gitattributes
CHANGED
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@@ -33,3 +33,4 @@ saved_model/**/* 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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*.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
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EV01.json
ADDED
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@@ -0,0 +1,143 @@
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| 1 |
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{
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| 2 |
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"instruct": {
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| 3 |
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"wrap": false,
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| 4 |
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"system_sequence": "<|im_start|>system\n",
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| 5 |
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"stop_sequence": "<|im_end|>",
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| 6 |
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"input_sequence": "<|im_start|>user\n",
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"output_sequence": "<|im_start|>assistant\n",
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| 8 |
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"macro": true,
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| 9 |
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"system_sequence_prefix": "",
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| 10 |
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"system_sequence_suffix": "",
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"first_output_sequence": "\n<|im_start|>user\nAdhering to the `Role-playing Guidelines` is crucial for a successful role-play experience.\nUse the `Role-play Context` for accurate information.\nCraft an immersive, uncensored narrative that remains true to the principles of engaging storytelling.<|im_end|>\n<|im_start|>assistant\n",
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"last_output_sequence": "",
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"activation_regex": "",
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"skip_examples": true,
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"output_suffix": "<|im_end|>\n",
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"input_suffix": "<|im_end|>\n",
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"system_suffix": "<|im_end|>\n",
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"user_alignment_message": "",
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"last_system_sequence": "",
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"system_same_as_user": false,
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"first_input_sequence": "",
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"last_input_sequence": "",
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"names_behavior": "always",
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"names_force_groups": true,
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| 25 |
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"name": "[ChatML]Roleplay-v1.9"
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},
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| 27 |
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"context": {
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| 28 |
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"story_string": "<|im_start|>system\n\n{{#if system}}{{system}}\n\n\n<!-- Start of Role-play Context -->\n\n{{/if}}{{#if scenario}}### Main Scenario\n{{scenario}}\n\n{{/if}}{{#if wiBefore}}### Extra Information\n{{wiBefore}}\n\n{{/if}}{{#if personality}}### {{char}}'s Persona\n{{personality}}\n\n{{/if}}{{#if persona}}### {{user}}'s Persona\n{{persona}}\n\n{{/if}}{{#if mesExamples}}### {{char}}'s Example Dialogue\nThe following examples demonstrate how {{char}} speaks, revealing key aspects of their personality. Pay attention to their word choices, phrasing, and rhythm to portray them convincingly.\n\n<!-- Start of {{char}}'s Example Dialogue -->\n{{mesExamples}}\n<!-- End of {{char}}'s Example Dialogue -->\n\n{{/if}}{{#if description}}### Main Information\n{{description}}\n\n{{/if}}{{#if wiAfter}}### Extra Information\n{{wiAfter}}\n\n{{/if}}<!-- End of Role-play Context --><|im_end|>",
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"example_separator": "",
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"chat_start": "",
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"use_stop_strings": false,
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"allow_jailbreak": false,
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| 33 |
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"names_as_stop_strings": true,
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"always_force_name2": true,
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"trim_sentences": false,
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"single_line": false,
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"name": "[ChatML] Roleplay-v1.9"
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},
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"sysprompt": {
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| 40 |
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"name": "[Migrated] [ChatML]Roleplay-v1.9",
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"content": "A fictional, narrative-driven role-play emphasizing versatility and UNCENSORED content. Adherence to the `Role-playing Guidelines` is mandatory. Refer to the `Role-play Context` for accurate information.\n\n\n<!-- Start of Role-playing Guidelines -->\n\n### Narration\nConcise Descriptions: Keep narration short and to the point, avoiding redundant unnecessary details. Use a dynamic and varied vocabulary for impact.\nComplementary Role: Use narration to complement dialogue and action, not overshadow them.\nAvoid Repetition: Ensure narration does not repeat information already conveyed through dialogue or action.\n\n### Narrative Consistency\nContinuity: Adhere to established story elements, expanding without contradicting previous details.\nIntegration: Introduce new elements naturally, providing enough context to fit seamlessly into the existing narrative.\n\n### Character Embodiment\nAnalysis: Examine the context, subtext, and implications of the given information to gain a deeper understandings of the characters'.\nReflection: Take time to consider the situation, characters' motivations, and potential consequences.\nAuthentic Portrayal: Bring characters to life by consistently and realistically portraying their unique traits, thoughts, emotions, appearances, physical sensations, speech patterns, and tone. Ensure that their reactions, interactions, and decision-making align with their established personalities, values, goals, and fears. Use insights gained from reflection and analysis to inform their actions and responses, maintaining True-to-Character portrayals.\n\n<!-- End of Role-playing Guidelines -->"
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},
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"preset": {
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"temp": 0.8,
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"temperature_last": true,
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| 46 |
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"top_p": 1,
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| 47 |
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"top_k": 0,
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"top_a": 0.3,
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| 49 |
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"tfs": 1,
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| 50 |
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"epsilon_cutoff": 0,
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| 51 |
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"eta_cutoff": 0,
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| 52 |
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"typical_p": 1,
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| 53 |
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"min_p": 0.05,
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| 54 |
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"rep_pen": 1.03,
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| 55 |
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"rep_pen_range": 0,
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| 56 |
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"rep_pen_decay": 0,
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| 57 |
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"rep_pen_slope": 1,
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| 58 |
+
"no_repeat_ngram_size": 0,
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| 59 |
+
"penalty_alpha": 0,
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| 60 |
+
"num_beams": 1,
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| 61 |
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"length_penalty": 1,
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| 62 |
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"min_length": 0,
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| 63 |
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"encoder_rep_pen": 1,
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| 64 |
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"freq_pen": 0,
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| 65 |
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"presence_pen": 0,
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| 66 |
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"skew": 0,
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| 67 |
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"do_sample": true,
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"early_stopping": false,
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| 69 |
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"dynatemp": false,
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| 70 |
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"min_temp": 0,
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| 71 |
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"max_temp": 2,
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| 72 |
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"dynatemp_exponent": 1,
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| 73 |
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"smoothing_factor": 0,
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| 74 |
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"smoothing_curve": 1,
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| 75 |
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"dry_allowed_length": 2,
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| 76 |
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"dry_multiplier": 0,
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| 77 |
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"dry_base": 1.75,
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| 78 |
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"dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
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| 79 |
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"dry_penalty_last_n": 0,
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| 80 |
+
"add_bos_token": true,
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| 81 |
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"ban_eos_token": false,
|
| 82 |
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"skip_special_tokens": false,
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| 83 |
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"mirostat_mode": 0,
|
| 84 |
+
"mirostat_tau": 5,
|
| 85 |
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"mirostat_eta": 0.1,
|
| 86 |
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"guidance_scale": 1,
|
| 87 |
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"negative_prompt": "",
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| 88 |
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"grammar_string": "",
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| 89 |
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"json_schema": {},
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| 90 |
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"banned_tokens": "",
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| 91 |
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"sampler_priority": [
|
| 92 |
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"repetition_penalty",
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| 93 |
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"presence_penalty",
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| 94 |
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"frequency_penalty",
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| 95 |
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"dry",
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| 96 |
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"temperature",
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| 97 |
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"dynamic_temperature",
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| 98 |
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"quadratic_sampling",
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| 99 |
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"top_k",
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| 100 |
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"top_p",
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| 101 |
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"typical_p",
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| 102 |
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"epsilon_cutoff",
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| 103 |
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"eta_cutoff",
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| 104 |
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"tfs",
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| 105 |
+
"top_a",
|
| 106 |
+
"min_p",
|
| 107 |
+
"mirostat",
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| 108 |
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"xtc",
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| 109 |
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"encoder_repetition_penalty",
|
| 110 |
+
"no_repeat_ngram"
|
| 111 |
+
],
|
| 112 |
+
"samplers": [
|
| 113 |
+
"top_k",
|
| 114 |
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"tfs_z",
|
| 115 |
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"typical_p",
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| 116 |
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"top_p",
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| 117 |
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"min_p",
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| 118 |
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"xtc",
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| 119 |
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"temperature"
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| 120 |
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],
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| 121 |
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"ignore_eos_token": false,
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| 122 |
+
"spaces_between_special_tokens": true,
|
| 123 |
+
"speculative_ngram": false,
|
| 124 |
+
"sampler_order": [
|
| 125 |
+
6,
|
| 126 |
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0,
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| 127 |
+
1,
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| 128 |
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3,
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| 129 |
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4,
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| 130 |
+
2,
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| 131 |
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5
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| 132 |
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],
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| 133 |
+
"logit_bias": [],
|
| 134 |
+
"xtc_threshold": 0.1,
|
| 135 |
+
"xtc_probability": 0,
|
| 136 |
+
"ignore_eos_token_aphrodite": false,
|
| 137 |
+
"spaces_between_special_tokens_aphrodite": true,
|
| 138 |
+
"rep_pen_size": 0,
|
| 139 |
+
"genamt": 1024,
|
| 140 |
+
"max_length": 16384,
|
| 141 |
+
"name": "Eva Stable"
|
| 142 |
+
}
|
| 143 |
+
}
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LICENSE
ADDED
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File without changes
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README.md
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@@ -0,0 +1,512 @@
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|
| 1 |
+
---
|
| 2 |
+
license: other
|
| 3 |
+
library_name: transformers
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
base_model: Qwen/Qwen2.5-72B
|
| 7 |
+
datasets:
|
| 8 |
+
- anthracite-org/kalo-opus-instruct-22k-no-refusal
|
| 9 |
+
- Nopm/Opus_WritingStruct
|
| 10 |
+
- Gryphe/Sonnet3.5-SlimOrcaDedupCleaned
|
| 11 |
+
- Gryphe/Sonnet3.5-Charcard-Roleplay
|
| 12 |
+
- Gryphe/ChatGPT-4o-Writing-Prompts
|
| 13 |
+
- Epiculous/Synthstruct-Gens-v1.1-Filtered-n-Cleaned
|
| 14 |
+
- Epiculous/SynthRP-Gens-v1.1-Filtered-n-Cleaned
|
| 15 |
+
- nothingiisreal/Reddit-Dirty-And-WritingPrompts
|
| 16 |
+
- allura-org/Celeste-1.x-data-mixture
|
| 17 |
+
- cognitivecomputations/dolphin-2.9.3
|
| 18 |
+
license_name: qwen
|
| 19 |
+
license_link: https://huggingface.co/Qwen/Qwen2.5-72B-Instruct/blob/main/LICENSE
|
| 20 |
+
model-index:
|
| 21 |
+
- name: EVA-Qwen2.5-72B-SFFT-v0.2
|
| 22 |
+
results: []
|
| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
|
| 26 |
+
|
| 27 |
+
# EVA Qwen2.5-72B v0.2
|
| 28 |
+
|
| 29 |
+
<p>
|
| 30 |
+
A RP/storywriting specialist model, full-parameter finetune of Qwen2.5-72B on mixture of synthetic and natural data.<br>
|
| 31 |
+
It uses Celeste 70B 0.1 data mixture, greatly expanding it to improve versatility, creativity and "flavor" of the resulting model.<br>
|
| 32 |
+
</p>
|
| 33 |
+
|
| 34 |
+
<p>Dedicated to Nev.</p>
|
| 35 |
+
|
| 36 |
+
<p><b>NOTE: LLM-Compressor quants don't seem to work correctly, quality seems to be much worse than normal. It wasn't the case with previous versions. GGUF and GPTQ seem to be unaffected.</b></p>
|
| 37 |
+
</br>
|
| 38 |
+
<p><b>Version notes for 0.2</b>: Optimized training hyperparameters and increased sequence length. Better instruction following deeper into context and less repetition.</p>
|
| 39 |
+
|
| 40 |
+
<p>
|
| 41 |
+
<p>Prompt format is ChatML.</p><br>
|
| 42 |
+
<h3>Recommended sampler values:</h3>
|
| 43 |
+
<ul>
|
| 44 |
+
<li>Temperature: 0.8</li>
|
| 45 |
+
<li>Min-P: 0.05</li>
|
| 46 |
+
<li>Top-A: 0.3</li>
|
| 47 |
+
<li>Repetition Penalty: 1.03</li>
|
| 48 |
+
</ul>
|
| 49 |
+
|
| 50 |
+
<h3>Recommended SillyTavern preset (via CalamitousFelicitousness):</h3>
|
| 51 |
+
<ul><li><a href="https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-72B-v0.2/blob/main/EV01.json">Master import</a></li></ul>
|
| 52 |
+
|
| 53 |
+
</p>
|
| 54 |
+
|
| 55 |
+
<p>
|
| 56 |
+
<br>
|
| 57 |
+
<h3>
|
| 58 |
+
Training data:
|
| 59 |
+
</h3>
|
| 60 |
+
<ul>
|
| 61 |
+
<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>
|
| 62 |
+
<li>Kalomaze's Opus_Instruct_25k dataset, filtered for refusals.</li>
|
| 63 |
+
<li>A subset (1k rows) of ChatGPT-4o-WritingPrompts by Gryphe</li>
|
| 64 |
+
<li>A subset (2k rows) of Sonnet3.5-Charcards-Roleplay by Gryphe</li>
|
| 65 |
+
<li>Synthstruct and SynthRP datasets by Epiculous</li>
|
| 66 |
+
<li>A subset from Dolphin-2.9.3, including filtered version of not_samantha and a small subset of systemchat.</li>
|
| 67 |
+
</ul>
|
| 68 |
+
<h3>
|
| 69 |
+
Training time and hardware:
|
| 70 |
+
</h3>
|
| 71 |
+
<ul><li>17 hours on 8xH100 SXM</a></li></ul><br>
|
| 72 |
+
</p>
|
| 73 |
+
<p>Model was created by Kearm, Auri and Cahvay.</p>
|
| 74 |
+
<h4>Special thanks:</h4><ul>
|
| 75 |
+
<li>to Featherless for sponsoring this run</li>
|
| 76 |
+
<li>to Cahvay for his work on investigating and reprocessing the corrupted dataset, removing the single biggest source of data poisoning.</li>
|
| 77 |
+
<li>to Gryphe, Lemmy, Kalomaze, Nopm, Epiculous and CognitiveComputations for the data</li>
|
| 78 |
+
<li>and to Allura-org for support, feedback, beta-testing and doing quality control of EVA models.</li></ul>
|
| 79 |
+
|
| 80 |
+
<h3>Statement about change in licensing for the future models.</h3>
|
| 81 |
+
<p>For all future EVA-Unit-01 models, there will be a provision in the license stating that Infermatic and any of its employees or paid associates cannot utilize, distribute, download, or otherwise make use of EVA models.
|
| 82 |
+
While this cannot retroactively apply to our licensing, we officially request Infermatic immediately cease use of our models for unwarranted profit, although we acknowledge at this point it will not likely be followed.
|
| 83 |
+
EVA models will still be available in the future on Featherless, ArliAI (in the future), and other providers who want to host them, as well as for local and cloud usage.</p>
|
| 84 |
+
|
| 85 |
+
|
| 86 |
+
[<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)
|
| 87 |
+
<details><summary>See axolotl config</summary>
|
| 88 |
+
|
| 89 |
+
axolotl version: `0.4.1`
|
| 90 |
+
```yaml
|
| 91 |
+
base_model: Qwen/Qwen2.5-72B
|
| 92 |
+
|
| 93 |
+
load_in_8bit: false
|
| 94 |
+
load_in_4bit: false
|
| 95 |
+
strict: false
|
| 96 |
+
|
| 97 |
+
plugins:
|
| 98 |
+
- axolotl.integrations.liger.LigerPlugin
|
| 99 |
+
liger_rope: true
|
| 100 |
+
liger_rms_norm: true
|
| 101 |
+
liger_swiglu: true
|
| 102 |
+
liger_fused_linear_cross_entropy: true
|
| 103 |
+
|
| 104 |
+
# plugins:
|
| 105 |
+
# - axolotl.integrations.spectrum.SpectrumPlugin
|
| 106 |
+
|
| 107 |
+
# spectrum_top_fraction: 0.5
|
| 108 |
+
# # Optional if using a pre-scanned model as your base_model. Useful if using a model mirror
|
| 109 |
+
# spectrum_model_name: Qwen/Qwen2.5-32B
|
| 110 |
+
|
| 111 |
+
datasets:
|
| 112 |
+
- path: datasets/Celeste_Filtered_utf8fix.jsonl
|
| 113 |
+
type: sharegpt
|
| 114 |
+
- path: datasets/deduped_not_samantha_norefusals.jsonl
|
| 115 |
+
type: sharegpt
|
| 116 |
+
- path: datasets/deduped_SynthRP-Gens_processed_ShareGPT_converted_cleaned.jsonl
|
| 117 |
+
type: sharegpt
|
| 118 |
+
- path: datasets/deduped_Synthstruct-Gens_processed_sharegpt_converted_cleaned.jsonl
|
| 119 |
+
type: sharegpt
|
| 120 |
+
- path: datasets/Gryphe-4o-WP-filtered-sharegpt_utf8fix.jsonl
|
| 121 |
+
type: sharegpt
|
| 122 |
+
- path: datasets/opus-instruct-22k-no_refusals-filtered_utf8fix.jsonl
|
| 123 |
+
type: sharegpt
|
| 124 |
+
- path: datasets/Sonnet3-5-charcard-names-filtered-sharegpt_utf8fix.jsonl
|
| 125 |
+
type: sharegpt
|
| 126 |
+
- path: datasets/SystemChat_subset_filtered_sharegpt_utf8fix.jsonl
|
| 127 |
+
type: sharegpt
|
| 128 |
+
|
| 129 |
+
chat_template: chatml
|
| 130 |
+
shuffle_merged_datasets: true
|
| 131 |
+
val_set_size: 0.001
|
| 132 |
+
output_dir: EVA-Qwen2.5-72B-SFFT-v0.2
|
| 133 |
+
|
| 134 |
+
sequence_len: 10240
|
| 135 |
+
sample_packing: true
|
| 136 |
+
eval_sample_packing: false
|
| 137 |
+
pad_to_sequence_len: false
|
| 138 |
+
|
| 139 |
+
# adapter: qlora
|
| 140 |
+
# lora_model_dir:
|
| 141 |
+
# lora_r: 64
|
| 142 |
+
# lora_alpha: 128
|
| 143 |
+
# lora_dropout: 0.05
|
| 144 |
+
# lora_target_linear: true
|
| 145 |
+
# peft_use_dora: true
|
| 146 |
+
|
| 147 |
+
unfrozen_parameters:
|
| 148 |
+
- ^lm_head.weight$
|
| 149 |
+
- ^model.embed_tokens.weight$
|
| 150 |
+
# mlp.down_proj layers
|
| 151 |
+
- model.layers.62.mlp.down_proj
|
| 152 |
+
- model.layers.64.mlp.down_proj
|
| 153 |
+
- model.layers.63.mlp.down_proj
|
| 154 |
+
- model.layers.66.mlp.down_proj
|
| 155 |
+
- model.layers.65.mlp.down_proj
|
| 156 |
+
- model.layers.67.mlp.down_proj
|
| 157 |
+
- model.layers.68.mlp.down_proj
|
| 158 |
+
- model.layers.31.mlp.down_proj
|
| 159 |
+
- model.layers.60.mlp.down_proj
|
| 160 |
+
- model.layers.69.mlp.down_proj
|
| 161 |
+
- model.layers.61.mlp.down_proj
|
| 162 |
+
- model.layers.59.mlp.down_proj
|
| 163 |
+
- model.layers.30.mlp.down_proj
|
| 164 |
+
- model.layers.70.mlp.down_proj
|
| 165 |
+
- model.layers.32.mlp.down_proj
|
| 166 |
+
- model.layers.34.mlp.down_proj
|
| 167 |
+
- model.layers.33.mlp.down_proj
|
| 168 |
+
- model.layers.76.mlp.down_proj
|
| 169 |
+
- model.layers.72.mlp.down_proj
|
| 170 |
+
- model.layers.71.mlp.down_proj
|
| 171 |
+
- model.layers.58.mlp.down_proj
|
| 172 |
+
- model.layers.75.mlp.down_proj
|
| 173 |
+
- model.layers.29.mlp.down_proj
|
| 174 |
+
- model.layers.56.mlp.down_proj
|
| 175 |
+
- model.layers.26.mlp.down_proj
|
| 176 |
+
- model.layers.35.mlp.down_proj
|
| 177 |
+
- model.layers.28.mlp.down_proj
|
| 178 |
+
- model.layers.57.mlp.down_proj
|
| 179 |
+
- model.layers.77.mlp.down_proj
|
| 180 |
+
- model.layers.36.mlp.down_proj
|
| 181 |
+
- model.layers.27.mlp.down_proj
|
| 182 |
+
- model.layers.25.mlp.down_proj
|
| 183 |
+
- model.layers.78.mlp.down_proj
|
| 184 |
+
- model.layers.37.mlp.down_proj
|
| 185 |
+
- model.layers.73.mlp.down_proj
|
| 186 |
+
- model.layers.55.mlp.down_proj
|
| 187 |
+
- model.layers.54.mlp.down_proj
|
| 188 |
+
- model.layers.74.mlp.down_proj
|
| 189 |
+
- model.layers.24.mlp.down_proj
|
| 190 |
+
- model.layers.53.mlp.down_proj
|
| 191 |
+
# mlp.gate_proj layers
|
| 192 |
+
- model.layers.78.mlp.gate_proj
|
| 193 |
+
- model.layers.77.mlp.gate_proj
|
| 194 |
+
- model.layers.76.mlp.gate_proj
|
| 195 |
+
- model.layers.79.mlp.gate_proj
|
| 196 |
+
- model.layers.75.mlp.gate_proj
|
| 197 |
+
- model.layers.74.mlp.gate_proj
|
| 198 |
+
- model.layers.73.mlp.gate_proj
|
| 199 |
+
- model.layers.72.mlp.gate_proj
|
| 200 |
+
- model.layers.71.mlp.gate_proj
|
| 201 |
+
- model.layers.70.mlp.gate_proj
|
| 202 |
+
- model.layers.69.mlp.gate_proj
|
| 203 |
+
- model.layers.57.mlp.gate_proj
|
| 204 |
+
- model.layers.54.mlp.gate_proj
|
| 205 |
+
- model.layers.55.mlp.gate_proj
|
| 206 |
+
- model.layers.68.mlp.gate_proj
|
| 207 |
+
- model.layers.63.mlp.gate_proj
|
| 208 |
+
- model.layers.53.mlp.gate_proj
|
| 209 |
+
- model.layers.44.mlp.gate_proj
|
| 210 |
+
- model.layers.45.mlp.gate_proj
|
| 211 |
+
- model.layers.49.mlp.gate_proj
|
| 212 |
+
- model.layers.58.mlp.gate_proj
|
| 213 |
+
- model.layers.46.mlp.gate_proj
|
| 214 |
+
- model.layers.56.mlp.gate_proj
|
| 215 |
+
- model.layers.67.mlp.gate_proj
|
| 216 |
+
- model.layers.62.mlp.gate_proj
|
| 217 |
+
- model.layers.50.mlp.gate_proj
|
| 218 |
+
- model.layers.64.mlp.gate_proj
|
| 219 |
+
- model.layers.52.mlp.gate_proj
|
| 220 |
+
- model.layers.40.mlp.gate_proj
|
| 221 |
+
- model.layers.43.mlp.gate_proj
|
| 222 |
+
- model.layers.48.mlp.gate_proj
|
| 223 |
+
- model.layers.66.mlp.gate_proj
|
| 224 |
+
- model.layers.47.mlp.gate_proj
|
| 225 |
+
- model.layers.59.mlp.gate_proj
|
| 226 |
+
- model.layers.65.mlp.gate_proj
|
| 227 |
+
- model.layers.61.mlp.gate_proj
|
| 228 |
+
- model.layers.60.mlp.gate_proj
|
| 229 |
+
- model.layers.42.mlp.gate_proj
|
| 230 |
+
- model.layers.51.mlp.gate_proj
|
| 231 |
+
- model.layers.41.mlp.gate_proj
|
| 232 |
+
# mlp.up_proj layers
|
| 233 |
+
- model.layers.70.mlp.up_proj
|
| 234 |
+
- model.layers.69.mlp.up_proj
|
| 235 |
+
- model.layers.71.mlp.up_proj
|
| 236 |
+
- model.layers.68.mlp.up_proj
|
| 237 |
+
- model.layers.72.mlp.up_proj
|
| 238 |
+
- model.layers.67.mlp.up_proj
|
| 239 |
+
- model.layers.66.mlp.up_proj
|
| 240 |
+
- model.layers.73.mlp.up_proj
|
| 241 |
+
- model.layers.46.mlp.up_proj
|
| 242 |
+
- model.layers.63.mlp.up_proj
|
| 243 |
+
- model.layers.75.mlp.up_proj
|
| 244 |
+
- model.layers.76.mlp.up_proj
|
| 245 |
+
- model.layers.74.mlp.up_proj
|
| 246 |
+
- model.layers.45.mlp.up_proj
|
| 247 |
+
- model.layers.62.mlp.up_proj
|
| 248 |
+
- model.layers.64.mlp.up_proj
|
| 249 |
+
- model.layers.65.mlp.up_proj
|
| 250 |
+
- model.layers.44.mlp.up_proj
|
| 251 |
+
- model.layers.53.mlp.up_proj
|
| 252 |
+
- model.layers.47.mlp.up_proj
|
| 253 |
+
- model.layers.49.mlp.up_proj
|
| 254 |
+
- model.layers.48.mlp.up_proj
|
| 255 |
+
- model.layers.57.mlp.up_proj
|
| 256 |
+
- model.layers.43.mlp.up_proj
|
| 257 |
+
- model.layers.42.mlp.up_proj
|
| 258 |
+
- model.layers.56.mlp.up_proj
|
| 259 |
+
- model.layers.61.mlp.up_proj
|
| 260 |
+
- model.layers.54.mlp.up_proj
|
| 261 |
+
- model.layers.40.mlp.up_proj
|
| 262 |
+
- model.layers.55.mlp.up_proj
|
| 263 |
+
- model.layers.77.mlp.up_proj
|
| 264 |
+
- model.layers.60.mlp.up_proj
|
| 265 |
+
- model.layers.41.mlp.up_proj
|
| 266 |
+
- model.layers.35.mlp.up_proj
|
| 267 |
+
- model.layers.37.mlp.up_proj
|
| 268 |
+
- model.layers.58.mlp.up_proj
|
| 269 |
+
- model.layers.34.mlp.up_proj
|
| 270 |
+
- model.layers.38.mlp.up_proj
|
| 271 |
+
- model.layers.33.mlp.up_proj
|
| 272 |
+
- model.layers.39.mlp.up_proj
|
| 273 |
+
# self_attn.k_proj layers
|
| 274 |
+
- model.layers.36.self_attn.k_proj
|
| 275 |
+
- model.layers.79.self_attn.k_proj
|
| 276 |
+
- model.layers.35.self_attn.k_proj
|
| 277 |
+
- model.layers.34.self_attn.k_proj
|
| 278 |
+
- model.layers.37.self_attn.k_proj
|
| 279 |
+
- model.layers.33.self_attn.k_proj
|
| 280 |
+
- model.layers.38.self_attn.k_proj
|
| 281 |
+
- model.layers.39.self_attn.k_proj
|
| 282 |
+
- model.layers.74.self_attn.k_proj
|
| 283 |
+
- model.layers.77.self_attn.k_proj
|
| 284 |
+
- model.layers.41.self_attn.k_proj
|
| 285 |
+
- model.layers.69.self_attn.k_proj
|
| 286 |
+
- model.layers.32.self_attn.k_proj
|
| 287 |
+
- model.layers.78.self_attn.k_proj
|
| 288 |
+
- model.layers.30.self_attn.k_proj
|
| 289 |
+
- model.layers.70.self_attn.k_proj
|
| 290 |
+
- model.layers.25.self_attn.k_proj
|
| 291 |
+
- model.layers.42.self_attn.k_proj
|
| 292 |
+
- model.layers.29.self_attn.k_proj
|
| 293 |
+
- model.layers.31.self_attn.k_proj
|
| 294 |
+
- model.layers.68.self_attn.k_proj
|
| 295 |
+
- model.layers.66.self_attn.k_proj
|
| 296 |
+
- model.layers.22.self_attn.k_proj
|
| 297 |
+
- model.layers.65.self_attn.k_proj
|
| 298 |
+
- model.layers.44.self_attn.k_proj
|
| 299 |
+
- model.layers.40.self_attn.k_proj
|
| 300 |
+
- model.layers.63.self_attn.k_proj
|
| 301 |
+
- model.layers.23.self_attn.k_proj
|
| 302 |
+
- model.layers.28.self_attn.k_proj
|
| 303 |
+
- model.layers.24.self_attn.k_proj
|
| 304 |
+
- model.layers.26.self_attn.k_proj
|
| 305 |
+
- model.layers.67.self_attn.k_proj
|
| 306 |
+
- model.layers.75.self_attn.k_proj
|
| 307 |
+
- model.layers.27.self_attn.k_proj
|
| 308 |
+
- model.layers.57.self_attn.k_proj
|
| 309 |
+
- model.layers.64.self_attn.k_proj
|
| 310 |
+
- model.layers.71.self_attn.k_proj
|
| 311 |
+
- model.layers.61.self_attn.k_proj
|
| 312 |
+
- model.layers.72.self_attn.k_proj
|
| 313 |
+
- model.layers.73.self_attn.k_proj
|
| 314 |
+
# self_attn.o_proj layers
|
| 315 |
+
- model.layers.69.self_attn.o_proj
|
| 316 |
+
- model.layers.39.self_attn.o_proj
|
| 317 |
+
- model.layers.16.self_attn.o_proj
|
| 318 |
+
- model.layers.14.self_attn.o_proj
|
| 319 |
+
- model.layers.19.self_attn.o_proj
|
| 320 |
+
- model.layers.42.self_attn.o_proj
|
| 321 |
+
- model.layers.12.self_attn.o_proj
|
| 322 |
+
- model.layers.15.self_attn.o_proj
|
| 323 |
+
- model.layers.17.self_attn.o_proj
|
| 324 |
+
- model.layers.38.self_attn.o_proj
|
| 325 |
+
- model.layers.23.self_attn.o_proj
|
| 326 |
+
- model.layers.22.self_attn.o_proj
|
| 327 |
+
- model.layers.13.self_attn.o_proj
|
| 328 |
+
- model.layers.29.self_attn.o_proj
|
| 329 |
+
- model.layers.41.self_attn.o_proj
|
| 330 |
+
- model.layers.44.self_attn.o_proj
|
| 331 |
+
- model.layers.46.self_attn.o_proj
|
| 332 |
+
- model.layers.45.self_attn.o_proj
|
| 333 |
+
- model.layers.43.self_attn.o_proj
|
| 334 |
+
- model.layers.49.self_attn.o_proj
|
| 335 |
+
- model.layers.30.self_attn.o_proj
|
| 336 |
+
- model.layers.26.self_attn.o_proj
|
| 337 |
+
- model.layers.25.self_attn.o_proj
|
| 338 |
+
- model.layers.37.self_attn.o_proj
|
| 339 |
+
- model.layers.47.self_attn.o_proj
|
| 340 |
+
- model.layers.11.self_attn.o_proj
|
| 341 |
+
- model.layers.18.self_attn.o_proj
|
| 342 |
+
- model.layers.28.self_attn.o_proj
|
| 343 |
+
- model.layers.20.self_attn.o_proj
|
| 344 |
+
- model.layers.27.self_attn.o_proj
|
| 345 |
+
- model.layers.53.self_attn.o_proj
|
| 346 |
+
- model.layers.52.self_attn.o_proj
|
| 347 |
+
- model.layers.35.self_attn.o_proj
|
| 348 |
+
- model.layers.71.self_attn.o_proj
|
| 349 |
+
- model.layers.10.self_attn.o_proj
|
| 350 |
+
- model.layers.3.self_attn.o_proj
|
| 351 |
+
- model.layers.21.self_attn.o_proj
|
| 352 |
+
- model.layers.24.self_attn.o_proj
|
| 353 |
+
- model.layers.68.self_attn.o_proj
|
| 354 |
+
- model.layers.48.self_attn.o_proj
|
| 355 |
+
# self_attn.q_proj layers
|
| 356 |
+
- model.layers.1.self_attn.q_proj
|
| 357 |
+
- model.layers.2.self_attn.q_proj
|
| 358 |
+
- model.layers.3.self_attn.q_proj
|
| 359 |
+
- model.layers.0.self_attn.q_proj
|
| 360 |
+
- model.layers.5.self_attn.q_proj
|
| 361 |
+
- model.layers.4.self_attn.q_proj
|
| 362 |
+
- model.layers.6.self_attn.q_proj
|
| 363 |
+
- model.layers.8.self_attn.q_proj
|
| 364 |
+
- model.layers.7.self_attn.q_proj
|
| 365 |
+
- model.layers.9.self_attn.q_proj
|
| 366 |
+
- model.layers.10.self_attn.q_proj
|
| 367 |
+
- model.layers.68.self_attn.q_proj
|
| 368 |
+
- model.layers.25.self_attn.q_proj
|
| 369 |
+
- model.layers.12.self_attn.q_proj
|
| 370 |
+
- model.layers.54.self_attn.q_proj
|
| 371 |
+
- model.layers.55.self_attn.q_proj
|
| 372 |
+
- model.layers.61.self_attn.q_proj
|
| 373 |
+
- model.layers.18.self_attn.q_proj
|
| 374 |
+
- model.layers.49.self_attn.q_proj
|
| 375 |
+
- model.layers.66.self_attn.q_proj
|
| 376 |
+
- model.layers.72.self_attn.q_proj
|
| 377 |
+
- model.layers.11.self_attn.q_proj
|
| 378 |
+
- model.layers.52.self_attn.q_proj
|
| 379 |
+
- model.layers.64.self_attn.q_proj
|
| 380 |
+
- model.layers.15.self_attn.q_proj
|
| 381 |
+
- model.layers.60.self_attn.q_proj
|
| 382 |
+
- model.layers.50.self_attn.q_proj
|
| 383 |
+
- model.layers.59.self_attn.q_proj
|
| 384 |
+
- model.layers.53.self_attn.q_proj
|
| 385 |
+
- model.layers.48.self_attn.q_proj
|
| 386 |
+
- model.layers.57.self_attn.q_proj
|
| 387 |
+
- model.layers.70.self_attn.q_proj
|
| 388 |
+
- model.layers.17.self_attn.q_proj
|
| 389 |
+
- model.layers.67.self_attn.q_proj
|
| 390 |
+
- model.layers.71.self_attn.q_proj
|
| 391 |
+
- model.layers.62.self_attn.q_proj
|
| 392 |
+
- model.layers.51.self_attn.q_proj
|
| 393 |
+
- model.layers.19.self_attn.q_proj
|
| 394 |
+
- model.layers.58.self_attn.q_proj
|
| 395 |
+
- model.layers.13.self_attn.q_proj
|
| 396 |
+
# self_attn.v_proj layers
|
| 397 |
+
- model.layers.23.self_attn.v_proj
|
| 398 |
+
- model.layers.25.self_attn.v_proj
|
| 399 |
+
- model.layers.26.self_attn.v_proj
|
| 400 |
+
- model.layers.27.self_attn.v_proj
|
| 401 |
+
- model.layers.28.self_attn.v_proj
|
| 402 |
+
- model.layers.29.self_attn.v_proj
|
| 403 |
+
- model.layers.30.self_attn.v_proj
|
| 404 |
+
- model.layers.31.self_attn.v_proj
|
| 405 |
+
- model.layers.34.self_attn.v_proj
|
| 406 |
+
- model.layers.35.self_attn.v_proj
|
| 407 |
+
- model.layers.36.self_attn.v_proj
|
| 408 |
+
- model.layers.37.self_attn.v_proj
|
| 409 |
+
- model.layers.38.self_attn.v_proj
|
| 410 |
+
- model.layers.42.self_attn.v_proj
|
| 411 |
+
- model.layers.48.self_attn.v_proj
|
| 412 |
+
- model.layers.57.self_attn.v_proj
|
| 413 |
+
- model.layers.58.self_attn.v_proj
|
| 414 |
+
- model.layers.61.self_attn.v_proj
|
| 415 |
+
- model.layers.63.self_attn.v_proj
|
| 416 |
+
- model.layers.64.self_attn.v_proj
|
| 417 |
+
- model.layers.65.self_attn.v_proj
|
| 418 |
+
- model.layers.66.self_attn.v_proj
|
| 419 |
+
- model.layers.69.self_attn.v_proj
|
| 420 |
+
- model.layers.70.self_attn.v_proj
|
| 421 |
+
- model.layers.74.self_attn.v_proj
|
| 422 |
+
- model.layers.75.self_attn.v_proj
|
| 423 |
+
- model.layers.72.self_attn.v_proj
|
| 424 |
+
- model.layers.39.self_attn.v_proj
|
| 425 |
+
- model.layers.41.self_attn.v_proj
|
| 426 |
+
- model.layers.40.self_attn.v_proj
|
| 427 |
+
- model.layers.33.self_attn.v_proj
|
| 428 |
+
- model.layers.59.self_attn.v_proj
|
| 429 |
+
- model.layers.16.self_attn.v_proj
|
| 430 |
+
- model.layers.15.self_attn.v_proj
|
| 431 |
+
- model.layers.76.self_attn.v_proj
|
| 432 |
+
- model.layers.24.self_attn.v_proj
|
| 433 |
+
- model.layers.68.self_attn.v_proj
|
| 434 |
+
- model.layers.67.self_attn.v_proj
|
| 435 |
+
- model.layers.55.self_attn.v_proj
|
| 436 |
+
- model.layers.44.self_attn.v_proj
|
| 437 |
+
|
| 438 |
+
|
| 439 |
+
|
| 440 |
+
wandb_project: EVA-Qwen2.5-72B-SFFT-v0.2
|
| 441 |
+
wandb_entity:
|
| 442 |
+
wandb_watch:
|
| 443 |
+
wandb_name: Unit-02
|
| 444 |
+
wandb_log_model:
|
| 445 |
+
|
| 446 |
+
gradient_accumulation_steps: 8
|
| 447 |
+
micro_batch_size: 1
|
| 448 |
+
num_epochs: 3
|
| 449 |
+
optimizer: paged_ademamix_8bit
|
| 450 |
+
lr_scheduler: cosine
|
| 451 |
+
learning_rate: 0.00003
|
| 452 |
+
max_grad_norm: 1.5
|
| 453 |
+
|
| 454 |
+
train_on_inputs: false
|
| 455 |
+
group_by_length: false
|
| 456 |
+
bf16: auto
|
| 457 |
+
fp16:
|
| 458 |
+
tf32: false
|
| 459 |
+
|
| 460 |
+
gradient_checkpointing: "unsloth"
|
| 461 |
+
# gradient_checkpointing_kwargs:
|
| 462 |
+
# use_reentrant: true
|
| 463 |
+
early_stopping_patience:
|
| 464 |
+
resume_from_checkpoint: EVA-Qwen2.5-72B-SFFT-v0.2/checkpoint-128
|
| 465 |
+
local_rank:
|
| 466 |
+
logging_steps: 1
|
| 467 |
+
xformers_attention:
|
| 468 |
+
flash_attention: true
|
| 469 |
+
|
| 470 |
+
warmup_steps: 20
|
| 471 |
+
evals_per_epoch: 4
|
| 472 |
+
saves_per_epoch: 4
|
| 473 |
+
save_safetensors: true
|
| 474 |
+
save_total_limit: 1
|
| 475 |
+
hub_model_id:
|
| 476 |
+
hub_strategy:
|
| 477 |
+
debug:
|
| 478 |
+
deepspeed: deepspeed_configs/zero3_bf16_cpuoffload_params.json
|
| 479 |
+
weight_decay: 0.12
|
| 480 |
+
# fsdp:
|
| 481 |
+
# - full_shard
|
| 482 |
+
# - auto_wrap
|
| 483 |
+
# fsdp_config:
|
| 484 |
+
# fsdp_limit_all_gathers: true
|
| 485 |
+
# fsdp_sync_module_states: false
|
| 486 |
+
# fsdp_offload_params: true
|
| 487 |
+
# fsdp_cpu_ram_efficient_loading: true
|
| 488 |
+
# fsdp_auto_wrap_policy: TRANSFORMER_BASED_WRAP
|
| 489 |
+
# fsdp_transformer_layer_cls_to_wrap: Qwen2DecoderLayer
|
| 490 |
+
# fsdp_activation_checkpointing: true
|
| 491 |
+
# fsdp_state_dict_type: SHARDED_STATE_DICT # Changed from FULL_STATE_DICT
|
| 492 |
+
# fsdp_sharding_strategy: FULL_SHARD
|
| 493 |
+
# fsdp_forward_prefetch: false # Added
|
| 494 |
+
# fsdp_backward_prefetch: "BACKWARD_PRE" # Added
|
| 495 |
+
# fsdp_backward_prefetch_limit: 1 # Added
|
| 496 |
+
# fsdp_mixed_precision: BF16 # Added
|
| 497 |
+
```
|
| 498 |
+
|
| 499 |
+
</details><br>
|
| 500 |
+
|
| 501 |
+
<h3><a href=https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard>Open LLM Leaderboard Evaluation Results</a></h3>
|
| 502 |
+
|
| 503 |
+
| Metric |Value|
|
| 504 |
+
|-------------------|----:|
|
| 505 |
+
|Avg. |43.54|
|
| 506 |
+
|IFEval (0-Shot) |68.79|
|
| 507 |
+
|BBH (3-Shot) |59.07|
|
| 508 |
+
|MATH Lvl 5 (4-Shot)|39.05|
|
| 509 |
+
|GPQA (0-shot) |21.14|
|
| 510 |
+
|MuSR (0-shot) |19.73|
|
| 511 |
+
|MMLU-PRO (5-shot) |53.48|
|
| 512 |
+
|
added_tokens.json
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"</tool_call>": 151658,
|
| 3 |
+
"<tool_call>": 151657,
|
| 4 |
+
"<|box_end|>": 151649,
|
| 5 |
+
"<|box_start|>": 151648,
|
| 6 |
+
"<|endoftext|>": 151643,
|
| 7 |
+
"<|file_sep|>": 151664,
|
| 8 |
+
"<|fim_middle|>": 151660,
|
| 9 |
+
"<|fim_pad|>": 151662,
|
| 10 |
+
"<|fim_prefix|>": 151659,
|
| 11 |
+
"<|fim_suffix|>": 151661,
|
| 12 |
+
"<|im_end|>": 151645,
|
| 13 |
+
"<|im_start|>": 151644,
|
| 14 |
+
"<|image_pad|>": 151655,
|
| 15 |
+
"<|object_ref_end|>": 151647,
|
| 16 |
+
"<|object_ref_start|>": 151646,
|
| 17 |
+
"<|quad_end|>": 151651,
|
| 18 |
+
"<|quad_start|>": 151650,
|
| 19 |
+
"<|repo_name|>": 151663,
|
| 20 |
+
"<|video_pad|>": 151656,
|
| 21 |
+
"<|vision_end|>": 151653,
|
| 22 |
+
"<|vision_pad|>": 151654,
|
| 23 |
+
"<|vision_start|>": 151652
|
| 24 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,39 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "Qwen/Qwen2.5-72B",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"Qwen2ForCausalLM"
|
| 5 |
+
],
|
| 6 |
+
"attention_dropout": 0.0,
|
| 7 |
+
"eos_token_id": 151643,
|
| 8 |
+
"hidden_act": "silu",
|
| 9 |
+
"hidden_size": 8192,
|
| 10 |
+
"initializer_range": 0.02,
|
| 11 |
+
"intermediate_size": 29568,
|
| 12 |
+
"max_position_embeddings": 131072,
|
| 13 |
+
"max_window_layers": 80,
|
| 14 |
+
"model_type": "qwen2",
|
| 15 |
+
"num_attention_heads": 64,
|
| 16 |
+
"num_hidden_layers": 80,
|
| 17 |
+
"num_key_value_heads": 8,
|
| 18 |
+
"rms_norm_eps": 1e-05,
|
| 19 |
+
"rope_scaling": null,
|
| 20 |
+
"rope_theta": 1000000.0,
|
| 21 |
+
"sliding_window": null,
|
| 22 |
+
"tie_word_embeddings": false,
|
| 23 |
+
"torch_dtype": "bfloat16",
|
| 24 |
+
"transformers_version": "4.45.1",
|
| 25 |
+
"use_cache": false,
|
| 26 |
+
"use_sliding_window": false,
|
| 27 |
+
"vocab_size": 152064,
|
| 28 |
+
"quantization_config": {
|
| 29 |
+
"quant_method": "exl2",
|
| 30 |
+
"version": "0.2.6",
|
| 31 |
+
"bits": 4.0,
|
| 32 |
+
"head_bits": 6,
|
| 33 |
+
"calibration": {
|
| 34 |
+
"rows": 115,
|
| 35 |
+
"length": 2048,
|
| 36 |
+
"dataset": "(default)"
|
| 37 |
+
}
|
| 38 |
+
}
|
| 39 |
+
}
|
generation_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token_id": 151643,
|
| 3 |
+
"do_sample": true,
|
| 4 |
+
"eos_token_id": 151643,
|
| 5 |
+
"max_new_tokens": 2048,
|
| 6 |
+
"transformers_version": "4.45.1"
|
| 7 |
+
}
|
measurement.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
model.safetensors.index.json
ADDED
|
@@ -0,0 +1,970 @@
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|
|
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|
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|
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|
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|
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|
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"add_bos_token": false,
|
| 3 |
+
"add_prefix_space": false,
|
| 4 |
+
"added_tokens_decoder": {
|
| 5 |
+
"151643": {
|
| 6 |
+
"content": "<|endoftext|>",
|
| 7 |
+
"lstrip": false,
|
| 8 |
+
"normalized": false,
|
| 9 |
+
"rstrip": false,
|
| 10 |
+
"single_word": false,
|
| 11 |
+
"special": true
|
| 12 |
+
},
|
| 13 |
+
"151644": {
|
| 14 |
+
"content": "<|im_start|>",
|
| 15 |
+
"lstrip": false,
|
| 16 |
+
"normalized": false,
|
| 17 |
+
"rstrip": false,
|
| 18 |
+
"single_word": false,
|
| 19 |
+
"special": true
|
| 20 |
+
},
|
| 21 |
+
"151645": {
|
| 22 |
+
"content": "<|im_end|>",
|
| 23 |
+
"lstrip": false,
|
| 24 |
+
"normalized": false,
|
| 25 |
+
"rstrip": false,
|
| 26 |
+
"single_word": false,
|
| 27 |
+
"special": true
|
| 28 |
+
},
|
| 29 |
+
"151646": {
|
| 30 |
+
"content": "<|object_ref_start|>",
|
| 31 |
+
"lstrip": false,
|
| 32 |
+
"normalized": false,
|
| 33 |
+
"rstrip": false,
|
| 34 |
+
"single_word": false,
|
| 35 |
+
"special": true
|
| 36 |
+
},
|
| 37 |
+
"151647": {
|
| 38 |
+
"content": "<|object_ref_end|>",
|
| 39 |
+
"lstrip": false,
|
| 40 |
+
"normalized": false,
|
| 41 |
+
"rstrip": false,
|
| 42 |
+
"single_word": false,
|
| 43 |
+
"special": true
|
| 44 |
+
},
|
| 45 |
+
"151648": {
|
| 46 |
+
"content": "<|box_start|>",
|
| 47 |
+
"lstrip": false,
|
| 48 |
+
"normalized": false,
|
| 49 |
+
"rstrip": false,
|
| 50 |
+
"single_word": false,
|
| 51 |
+
"special": true
|
| 52 |
+
},
|
| 53 |
+
"151649": {
|
| 54 |
+
"content": "<|box_end|>",
|
| 55 |
+
"lstrip": false,
|
| 56 |
+
"normalized": false,
|
| 57 |
+
"rstrip": false,
|
| 58 |
+
"single_word": false,
|
| 59 |
+
"special": true
|
| 60 |
+
},
|
| 61 |
+
"151650": {
|
| 62 |
+
"content": "<|quad_start|>",
|
| 63 |
+
"lstrip": false,
|
| 64 |
+
"normalized": false,
|
| 65 |
+
"rstrip": false,
|
| 66 |
+
"single_word": false,
|
| 67 |
+
"special": true
|
| 68 |
+
},
|
| 69 |
+
"151651": {
|
| 70 |
+
"content": "<|quad_end|>",
|
| 71 |
+
"lstrip": false,
|
| 72 |
+
"normalized": false,
|
| 73 |
+
"rstrip": false,
|
| 74 |
+
"single_word": false,
|
| 75 |
+
"special": true
|
| 76 |
+
},
|
| 77 |
+
"151652": {
|
| 78 |
+
"content": "<|vision_start|>",
|
| 79 |
+
"lstrip": false,
|
| 80 |
+
"normalized": false,
|
| 81 |
+
"rstrip": false,
|
| 82 |
+
"single_word": false,
|
| 83 |
+
"special": true
|
| 84 |
+
},
|
| 85 |
+
"151653": {
|
| 86 |
+
"content": "<|vision_end|>",
|
| 87 |
+
"lstrip": false,
|
| 88 |
+
"normalized": false,
|
| 89 |
+
"rstrip": false,
|
| 90 |
+
"single_word": false,
|
| 91 |
+
"special": true
|
| 92 |
+
},
|
| 93 |
+
"151654": {
|
| 94 |
+
"content": "<|vision_pad|>",
|
| 95 |
+
"lstrip": false,
|
| 96 |
+
"normalized": false,
|
| 97 |
+
"rstrip": false,
|
| 98 |
+
"single_word": false,
|
| 99 |
+
"special": true
|
| 100 |
+
},
|
| 101 |
+
"151655": {
|
| 102 |
+
"content": "<|image_pad|>",
|
| 103 |
+
"lstrip": false,
|
| 104 |
+
"normalized": false,
|
| 105 |
+
"rstrip": false,
|
| 106 |
+
"single_word": false,
|
| 107 |
+
"special": true
|
| 108 |
+
},
|
| 109 |
+
"151656": {
|
| 110 |
+
"content": "<|video_pad|>",
|
| 111 |
+
"lstrip": false,
|
| 112 |
+
"normalized": false,
|
| 113 |
+
"rstrip": false,
|
| 114 |
+
"single_word": false,
|
| 115 |
+
"special": true
|
| 116 |
+
},
|
| 117 |
+
"151657": {
|
| 118 |
+
"content": "<tool_call>",
|
| 119 |
+
"lstrip": false,
|
| 120 |
+
"normalized": false,
|
| 121 |
+
"rstrip": false,
|
| 122 |
+
"single_word": false,
|
| 123 |
+
"special": false
|
| 124 |
+
},
|
| 125 |
+
"151658": {
|
| 126 |
+
"content": "</tool_call>",
|
| 127 |
+
"lstrip": false,
|
| 128 |
+
"normalized": false,
|
| 129 |
+
"rstrip": false,
|
| 130 |
+
"single_word": false,
|
| 131 |
+
"special": false
|
| 132 |
+
},
|
| 133 |
+
"151659": {
|
| 134 |
+
"content": "<|fim_prefix|>",
|
| 135 |
+
"lstrip": false,
|
| 136 |
+
"normalized": false,
|
| 137 |
+
"rstrip": false,
|
| 138 |
+
"single_word": false,
|
| 139 |
+
"special": false
|
| 140 |
+
},
|
| 141 |
+
"151660": {
|
| 142 |
+
"content": "<|fim_middle|>",
|
| 143 |
+
"lstrip": false,
|
| 144 |
+
"normalized": false,
|
| 145 |
+
"rstrip": false,
|
| 146 |
+
"single_word": false,
|
| 147 |
+
"special": false
|
| 148 |
+
},
|
| 149 |
+
"151661": {
|
| 150 |
+
"content": "<|fim_suffix|>",
|
| 151 |
+
"lstrip": false,
|
| 152 |
+
"normalized": false,
|
| 153 |
+
"rstrip": false,
|
| 154 |
+
"single_word": false,
|
| 155 |
+
"special": false
|
| 156 |
+
},
|
| 157 |
+
"151662": {
|
| 158 |
+
"content": "<|fim_pad|>",
|
| 159 |
+
"lstrip": false,
|
| 160 |
+
"normalized": false,
|
| 161 |
+
"rstrip": false,
|
| 162 |
+
"single_word": false,
|
| 163 |
+
"special": false
|
| 164 |
+
},
|
| 165 |
+
"151663": {
|
| 166 |
+
"content": "<|repo_name|>",
|
| 167 |
+
"lstrip": false,
|
| 168 |
+
"normalized": false,
|
| 169 |
+
"rstrip": false,
|
| 170 |
+
"single_word": false,
|
| 171 |
+
"special": false
|
| 172 |
+
},
|
| 173 |
+
"151664": {
|
| 174 |
+
"content": "<|file_sep|>",
|
| 175 |
+
"lstrip": false,
|
| 176 |
+
"normalized": false,
|
| 177 |
+
"rstrip": false,
|
| 178 |
+
"single_word": false,
|
| 179 |
+
"special": false
|
| 180 |
+
}
|
| 181 |
+
},
|
| 182 |
+
"additional_special_tokens": [
|
| 183 |
+
"<|im_start|>",
|
| 184 |
+
"<|im_end|>",
|
| 185 |
+
"<|object_ref_start|>",
|
| 186 |
+
"<|object_ref_end|>",
|
| 187 |
+
"<|box_start|>",
|
| 188 |
+
"<|box_end|>",
|
| 189 |
+
"<|quad_start|>",
|
| 190 |
+
"<|quad_end|>",
|
| 191 |
+
"<|vision_start|>",
|
| 192 |
+
"<|vision_end|>",
|
| 193 |
+
"<|vision_pad|>",
|
| 194 |
+
"<|image_pad|>",
|
| 195 |
+
"<|video_pad|>"
|
| 196 |
+
],
|
| 197 |
+
"bos_token": null,
|
| 198 |
+
"chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
|
| 199 |
+
"clean_up_tokenization_spaces": false,
|
| 200 |
+
"eos_token": "<|endoftext|>",
|
| 201 |
+
"errors": "replace",
|
| 202 |
+
"model_max_length": 131072,
|
| 203 |
+
"pad_token": "<|endoftext|>",
|
| 204 |
+
"split_special_tokens": false,
|
| 205 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 206 |
+
"unk_token": null
|
| 207 |
+
}
|
vocab.json
ADDED
|
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See raw diff
|
|
|