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Model: ewald1976/Corridor-C-12B Source: Original Platform
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README.md
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README.md
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---
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base_model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b
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language:
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- en
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license: apache-2.0
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tags:
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- mistral-nemo
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- 12b
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- creative-writing
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- literary
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- speculative-fiction
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- science-fiction
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- atmospheric
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- synthetic-data
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- roleplay
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- narrative
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- contemplative
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- procedural
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- archival
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- observational-prose
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- restrained-writing
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- synthetic
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- fine-tune
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- unsloth
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pipeline_tag: text-generation
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---
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# Corridor-C-12B
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Corridor-C-12B is a fine tuned version of PocketDoc/Dans-PersonalityEngine-V1.3.0-12b, developed for public wayfinding systems with strict resource limits and mixed user groups.
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It adds a corridor-aware routing layer that uses ceiling height, wall thickness, and pedestrian density to optimize routes through narrow spaces.
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The routing layer is disabled by default because it increases memory usage when not needed, and enabled automatically only after three consecutive route requests through corridors.
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The voice is lower pitched than the base engine, and less formal in small spaces where pedestrians are close.
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It uses a narrower vocabulary to reduce packet size during peak times, but the base vocabulary remains available in private mode.
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The model is distributed with a separate routing calibration file that must be updated after one week of use, or when the average route length exceeds 80 meters.
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The calibration file is stored on a separate partition and not accessible to the user, but its version number appears in the status bar during routing. The engine has no public release date because it is installed only after corridor calibration completes, and corridor calibration requires at least 25 route requests with active routing layer.
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---
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### Settings
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- temp: 0.5-0.6
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- rep pen: 1.05
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- min_p: 0.05
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- top_p: 0.90-0.95
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> This model is provided as-is, without warranty of any kind. The creator of this model accepts no responsibility for any content generated by the model, including harmful, offensive, misleading, or otherwise objectionable outputs. You use it at your own risk.
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chat_template.jinja
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{{ bos_token }}{%- set loop_messages = messages %}{%- for message in loop_messages %}{%- if message['role'] == 'user' %}{%- set role_token = '<|user|>' %}{%- elif message['role'] == 'assistant' %}{%- set role_token = '<|assistant|>' %}{%- elif message['role'] == 'tool' %}{%- set role_token = '<|observation|>' %}{%- elif message['role'] == 'system' %}{%- set role_token = '<|system|>' %}{%- endif %}{%- if message['role'] in ['user', 'assistant', 'tool', 'system'] %}{%- set content = role_token + message['content'] | trim %}{%- if not (loop.last and message['role'] == 'assistant') %}{%- set content = content + '<|endoftext|>' %}{%- endif %}{{- content }}{%- endif %}{%- endfor %}{%- if messages[-1]['role'] != 'assistant' %}{{- '<|assistant|>' }}{%- endif %}
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config.json
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config.json
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{
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"architectures": [
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"MistralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 5120,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 131072,
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"model_type": "mistral",
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"num_attention_heads": 32,
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"num_hidden_layers": 40,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"unsloth_fixed": true,
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}
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export_metadata.json
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{
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"base_model": "PocketDoc/Dans-PersonalityEngine-V1.3.0-12b"
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}
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30
special_tokens_map.json
Normal file
30
special_tokens_map.json
Normal file
@@ -0,0 +1,30 @@
|
||||
{
|
||||
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||||
3
tokenizer.json
Normal file
3
tokenizer.json
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
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||||
oid sha256:d1416a0d41759a16302a188b0a4b7928cfcf8c63be21a6a23f9445b493ba0b5e
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size 17078423
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8016
tokenizer_config.json
Normal file
8016
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user