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Model: allura-org/TQ2.5-14B-Aletheia-v1
Source: Original Platform

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README.md

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+---
+base_model:
+- allura-org/TQ2.5-14B-Neon-v1
+- allura-org/TQ2.5-14B-Sugarquill-v1
+library_name: transformers
+tags:
+- mergekit
+- merge
+license: apache-2.0
+language:
+- en
+---
+
+<img src="aletheia.png">
+<small>Image by CalamitousFelicitousness</small>
+
+---
+
+
+# Qwen2.5-14B Aletheia v1
+
+RP/Story hybrid model, merge of Sugarquill and Neon. As with Gemma version, I wanted to preserve Sugarquill's creative spark, while making the model more steerable for RP. It proved to be more difficult this time, but I quite like the result regardless, even if the model is still somewhat temperamental.
+
+Should work for both RP and storywriting, either on raw completion or with back-and-forth cowriting in chat mode. Seems to be quite sensitive to low depth instructions and samplers.
+
+Thanks to Toasty and Fizz for testing and giving feedback
+
+Model was created by Auri.
+
+---
+
+**Notes about merging**
+
+It took me 20 something attempts to make this model. TIES didn't work at all, producing broken or nearly broken results every time. SLERP worked much better and after just 3 attempts I got something I like.
+Sugarquill was really prone to overtaking the merge, so I had to reduce it's part a lot, and still model has a lot of influence from it.
+
+**Format**
+
+Model responds to ChatML instruct formatting, exactly like it's base model.
+
+```
+<|im_start|>system
+{system message}<|im_end|>
+<|im_start|>user
+{user message}<|im_end|>
+<|im_start|>assistant
+{response}<|im_end|>
+```
+
+**Recommended Samplers**
+
+This one is a bit of a special snowflake, with special tastes. Those seem to work pretty well:
+
+```
+Temperature - 0.8
+Top-A - 0.3
+TFS - 0.75
+DRY - Multiplier 0.8 - Base 1.75 - Allowed length 3 - Range 1024
+```
+
+As a starting point, you can try this [ST Master Import](https://huggingface.co/allura-org/TQ2.5-14B-Aletheia-v1/blob/main/TQ-Aletheia.json)
+
+## Merge Details
+### Merge Method
+
+This model was merged using the SLERP merge method.
+
+### Models Merged
+
+The following models were included in the merge:
+* [allura-org/TQ2.5-14B-Neon-v1](https://huggingface.co/allura-org/TQ2.5-14B-Neon-v1)
+* [allura-org/TQ2.5-14B-Sugarquill-v1](https://huggingface.co/allura-org/TQ2.5-14B-Sugarquill-v1)
+
+### Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+base_model: allura-org/TQ2.5-14B-Sugarquill-v1
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - value: 0.7
+slices:
+- sources:
+  - layer_range: [0, 48]
+    model: allura-org/TQ2.5-14B-Neon-v1
+  - layer_range: [0, 48]
+    model: allura-org/TQ2.5-14B-Sugarquill-v1
+```

TQ-Aletheia.json

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+{
+    "instruct": {
+        "wrap": false,
+        "system_sequence": "<|im_start|>system\n",
+        "stop_sequence": "<|im_end|>",
+        "input_sequence": "<|im_start|>user\n",
+        "output_sequence": "<|im_start|>assistant\n",
+        "macro": true,
+        "system_sequence_prefix": "",
+        "system_sequence_suffix": "",
+        "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",
+        "last_output_sequence": "",
+        "activation_regex": "",
+        "skip_examples": true,
+        "output_suffix": "<|im_end|>\n",
+        "input_suffix": "<|im_end|>\n",
+        "system_suffix": "<|im_end|>\n",
+        "user_alignment_message": "",
+        "last_system_sequence": "",
+        "system_same_as_user": false,
+        "first_input_sequence": "",
+        "last_input_sequence": "",
+        "names_behavior": "none",
+        "names_force_groups": true,
+        "name": "[ChatML]Roleplay-v1.9"
+    },
+    "context": {
+        "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|>",
+        "example_separator": "",
+        "chat_start": "",
+        "use_stop_strings": false,
+        "allow_jailbreak": false,
+        "names_as_stop_strings": true,
+        "always_force_name2": true,
+        "trim_sentences": false,
+        "single_line": false,
+        "name": "[ChatML] Roleplay-v1.9"
+    },
+    "sysprompt": {
+        "name": "[Migrated] [ChatML]Roleplay-v1.9",
+        "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 -->"
+    },
+    "preset": {
+        "temp": 0.8,
+        "temperature_last": true,
+        "top_p": 1,
+        "top_k": 0,
+        "top_a": 0.3,
+        "tfs": 0.75,
+        "epsilon_cutoff": 0,
+        "eta_cutoff": 0,
+        "typical_p": 1,
+        "min_p": 0,
+        "rep_pen": 1,
+        "rep_pen_range": 0,
+        "rep_pen_decay": 0,
+        "rep_pen_slope": 1,
+        "no_repeat_ngram_size": 0,
+        "penalty_alpha": 0,
+        "num_beams": 1,
+        "length_penalty": 1,
+        "min_length": 0,
+        "encoder_rep_pen": 1,
+        "freq_pen": 0,
+        "presence_pen": 0,
+        "skew": 0,
+        "do_sample": true,
+        "early_stopping": false,
+        "dynatemp": false,
+        "min_temp": 0,
+        "max_temp": 2,
+        "dynatemp_exponent": 1,
+        "smoothing_factor": 0,
+        "smoothing_curve": 1,
+        "dry_allowed_length": 3,
+        "dry_multiplier": 0.8,
+        "dry_base": 1.75,
+        "dry_sequence_breakers": "[\"\\n\", \":\", \"\\\"\", \"*\"]",
+        "dry_penalty_last_n": 1024,
+        "add_bos_token": true,
+        "ban_eos_token": false,
+        "skip_special_tokens": false,
+        "mirostat_mode": 0,
+        "mirostat_tau": 5,
+        "mirostat_eta": 0.1,
+        "guidance_scale": 1,
+        "negative_prompt": "",
+        "grammar_string": "",
+        "json_schema": {},
+        "banned_tokens": "",
+        "sampler_priority": [
+            "repetition_penalty",
+            "presence_penalty",
+            "frequency_penalty",
+            "dry",
+            "temperature",
+            "dynamic_temperature",
+            "quadratic_sampling",
+            "top_k",
+            "top_p",
+            "typical_p",
+            "epsilon_cutoff",
+            "eta_cutoff",
+            "tfs",
+            "top_a",
+            "min_p",
+            "mirostat",
+            "xtc",
+            "encoder_repetition_penalty",
+            "no_repeat_ngram"
+        ],
+        "samplers": [
+            "top_k",
+            "tfs_z",
+            "typical_p",
+            "top_p",
+            "min_p",
+            "xtc",
+            "temperature"
+        ],
+        "samplers_priorities": [
+            "dry",
+            "penalties",
+            "no_repeat_ngram",
+            "temperature",
+            "top_nsigma",
+            "top_p_top_k",
+            "top_a",
+            "min_p",
+            "tfs",
+            "eta_cutoff",
+            "epsilon_cutoff",
+            "typical_p",
+            "quadratic",
+            "xtc"
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+        "ignore_eos_token": false,
+        "spaces_between_special_tokens": true,
+        "speculative_ngram": false,
+        "sampler_order": [
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+            0,
+            1,
+            3,
+            4,
+            2,
+            5
+        ],
+        "logit_bias": [],
+        "xtc_threshold": 0.1,
+        "xtc_probability": 0,
+        "nsigma": 0,
+        "ignore_eos_token_aphrodite": false,
+        "spaces_between_special_tokens_aphrodite": true,
+        "rep_pen_size": 0,
+        "genamt": 1024,
+        "max_length": 16384,
+        "name": "TQ-Aletheia"
+    }
+}

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config.json

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+  "_name_or_path": "allura-org/TQ2.5-14B-Sugarquill-v1",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
+  "attention_dropout": 0.0,
+  "eos_token_id": 151645,
+  "hidden_act": "silu",
+  "hidden_size": 5120,
+  "initializer_range": 0.02,
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+  "max_position_embeddings": 131072,
+  "max_window_layers": 48,
+  "model_type": "qwen2",
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+  "num_hidden_layers": 48,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.43.3",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 152064
+}

mergekit_config.yml

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+base_model: allura-org/TQ2.5-14B-Sugarquill-v1
+dtype: bfloat16
+merge_method: slerp
+parameters:
+  t:
+  - value: 0.7
+slices:
+- sources:
+  - layer_range: [0, 48]
+    model: allura-org/TQ2.5-14B-Neon-v1
+  - layer_range: [0, 48]
+    model: allura-org/TQ2.5-14B-Sugarquill-v1

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+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are SuperNova-Lite, an intelligent agent created by Arcee AI. Act as a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are SuperNova-Lite, an intelligent agent created by Arcee AI. Act as a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}