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Model: UmbrellaInc/Progenitor-Virus-3.2-3B Source: Original Platform
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*.7z filter=lfs diff=lfs merge=lfs -text
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README.md
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README.md
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---
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base_model:
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- bunnycore/Llama-3.2-3B-Sci-Think
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- DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored
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library_name: transformers
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tags:
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- mergekit
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- low-spec
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- low-refusals
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- roleplay
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- rp
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- nsfw
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- abliterated
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- uncensored
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- heretic
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- merge
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- not-for-all-audiences
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license: llama3.2
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language:
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- es
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- en
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pipeline_tag: text-generation
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---
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# Progenitor Virus 3.2 3B
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Merge Details
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### Merge Method
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This model was merged using the [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method.
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### Models Merged
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The following models were included in the merge:
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* [bunnycore/Llama-3.2-3B-Sci-Think](https://huggingface.co/bunnycore/Llama-3.2-3B-Sci-Think)
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* [DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored](https://huggingface.co/DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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# Umbrella Corporation Official Merge Protocol v3.2
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# Author: Dr. Novaciano
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# Objective: Test
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# PROJECT: Progenitor-Virus-3.2-3B
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models:
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- model: DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored # Experimental viral strain neural imprint
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- model: bunnycore/Llama-3.2-3B-Sci-Think # Baseline cognitive template, "safe mode"
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merge_method: slerp # Spherical Linear Interpolation to preserve extreme viral traits smoothly
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base_model: DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored # Anchor model for stable latent space
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dtype: bfloat16 # Memory-efficient precision, minimal loss in viral feature fidelity
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parameters:
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t: 0.45
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normalize: false
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rescale: true
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rescale_factor: 1.12
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memory_efficient: true
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low_cpu_mem_usage: true
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layer_range:
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- value: [4, 22]
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tie_word_embeddings: true
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tie_output_embeddings: true
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```
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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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"LlamaForCausalLM"
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],
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"attention_bias": false,
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"attention_dropout": 0.0,
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"bos_token_id": 128000,
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"dtype": "bfloat16",
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"eos_token_id": [
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128001,
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128008,
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128009
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],
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"head_dim": 128,
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"hidden_act": "silu",
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"hidden_size": 3072,
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"initializer_range": 0.02,
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"intermediate_size": 8192,
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"max_position_embeddings": 131072,
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"mlp_bias": false,
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"model_type": "llama",
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"num_attention_heads": 24,
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"num_hidden_layers": 28,
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"num_key_value_heads": 8,
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"pad_token_id": null,
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"pretraining_tp": 1,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"factor": 32.0,
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"high_freq_factor": 4.0,
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"low_freq_factor": 1.0,
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"original_max_position_embeddings": 8192,
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"rope_theta": 500000.0,
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"rope_type": "llama3"
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},
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"tie_word_embeddings": true,
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"transformers_version": "5.0.0",
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"use_cache": true,
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"vocab_size": 128256
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}
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mergekit_config.yml
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mergekit_config.yml
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# Umbrella Corporation Official Merge Protocol v3.2
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# Author: Dr. Novaciano
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# Objective: Test
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# PROJECT: Progenitor-Virus-3.2-3B
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models:
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- model: DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored # Experimental viral strain neural imprint
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- model: bunnycore/Llama-3.2-3B-Sci-Think # Baseline cognitive template, "safe mode"
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merge_method: slerp # Spherical Linear Interpolation to preserve extreme viral traits smoothly
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base_model: DavidAU/Llama-3.2-3B-Instruct-heretic-ablitered-uncensored # Anchor model for stable latent space
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dtype: bfloat16 # Memory-efficient precision, minimal loss in viral feature fidelity
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parameters:
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t: 0.45
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normalize: false
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rescale: true
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rescale_factor: 1.12
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memory_efficient: true
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low_cpu_mem_usage: true
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layer_range:
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- value: [4, 22]
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tie_word_embeddings: true
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tie_output_embeddings: true
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# parameters:
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# Interpolation ratios: from base model (0.0) to near-complete T-Virus domination (0.95)
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# Higher t-values correspond to reduced censorship and increased viral characteristics
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# t: [0.0, 0.25, 0.5, 0.75, 0.95]
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# Notes:
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# - t=0.0 -> Pure Prototype-Virus-ENFORCE, fully stable, heavily censored
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# - t=0.25 -> Slight viral traits, minimal influence on prompt handling
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# - t=0.5 -> Balanced merge, moderate reduction in censorship
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# - t=0.75 -> Strong T-Virus traits, significantly less censoring
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# - t=0.95 -> Near-total viral influence, maximum expressive freedom, minimal autoprotection
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# Recommendation: Use the t=0.75 and t=0.95 variants for experimental output with
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# minimal restriction, but verify coherence in high-stakes prompts.
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17
special_tokens_map.json
Normal file
17
special_tokens_map.json
Normal file
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|
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{
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||||
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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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size 17210084
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2063
tokenizer_config.json
Normal file
2063
tokenizer_config.json
Normal file
File diff suppressed because it is too large
Load Diff
Reference in New Issue
Block a user