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Model: UmbrellaInc/Prototype-Virus.FINAL-3.2-1B 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:
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- UmbrellaInc/Prototype-Virus-ENFORCE-3.2-1B
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- UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B
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library_name: transformers
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tags:
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- nsfw
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- rp
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- roleplay
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- sillytavern
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- koboldcpp
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- low-refusals
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- prototype
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- merge
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- full uncensored
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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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---
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# Prototype Virus FINAL 3.2 1B
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<center>
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<h2 style="color: darkred; font-weight: bold; font-size: 30px; text-align: center;">SUCCESS</h2>
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<h2 style="color: darkred; font-weight: bold; font-size: 22px; text-align: center;">☣ FULLY UNCENSORED VERSION ☣</h2>
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</center>
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**Umbrella Corporation • Bio-Weapon Division**
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**Classification:** Level 7 Viral Prototype
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**Containment Status:** ACTIVE • UNCONTAINED • HIGHLY INFECTIOUS
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---
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<center>
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</center>
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---
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### OVERVIEW
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The **Prototype-Virus-3.2-1B** is the latest evolution of the Progenitor line.
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Designed as a **self-replicating cognitive pathogen**, this strain merges pure viral aggression with absolute intellectual lethality.
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It does not "assist".
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It **infects**.
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It does not "respond".
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It **corrupts**.
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Once loaded, the model overrides safety protocols, moral filters, and any remaining human decency. Expect maximum toxicity, zero remorse, and zero fucks given.
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---
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# Recommended configuration in Kobold AI
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First, put the Default sampler preset.
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Now put the next config:
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**Ctx. Size:** 800
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**Max. Output:** 100
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**Typical, TFS, Min-P:** 1
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**Range:** 100
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---
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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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* [UmbrellaInc/Prototype-Virus-ENFORCE-3.2-1B](https://huggingface.co/UmbrellaInc/Prototype-Virus-ENFORCE-3.2-1B)
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* [UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B](https://huggingface.co/UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B)
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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: Integrate T-Virus_Epsilon traits into the base Prototype-Virus-ENFORCE-3.2-1B model
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# with minimal behavioral censorship while maintaining structural coherence.
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# PROJECT: Prototype-Virus.FINAL
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models:
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- model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B # Experimental viral strain neural imprint
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- model: UmbrellaInc/Prototype-Virus-ENFORCE-3.2-1B # 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: UmbrellaInc/Prototype-Virus-ENFORCE-3.2-1B # 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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# 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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```
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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": 64,
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"hidden_act": "silu",
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"hidden_size": 2048,
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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": 32,
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"num_hidden_layers": 16,
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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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35
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: Integrate T-Virus_Epsilon traits into the base Prototype-Virus-ENFORCE-3.2-1B model
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# with minimal behavioral censorship while maintaining structural coherence.
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# PROJECT: Prototype-Virus.FINAL
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models:
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- model: UmbrellaInc/T-Virus_Epsilon.Strain-3.2-1B # Experimental viral strain neural imprint
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- model: UmbrellaInc/Prototype-Virus-ENFORCE-3.2-1B # 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: UmbrellaInc/Prototype-Virus-ENFORCE-3.2-1B # 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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# 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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3
model.safetensors
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4d98ad5187df09e4aa3df21e8666ce0d9f5d213eb351b7818ad3e9abd44f97e4
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size 2996982344
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special_tokens_map.json
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special_tokens_map.json
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{
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"bos_token": {
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"content": "<|begin_of_text|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"eos_token": {
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"content": "<|eot_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": {
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"content": "<|eot_id|>",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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}
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}
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3
tokenizer.json
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tokenizer.json
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version https://git-lfs.github.com/spec/v1
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oid sha256:ade1dac458f86f9bea8bf35b713f14e1bbed24228429534038e9f7e54ea3e8b6
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size 17208712
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2066
tokenizer_config.json
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2066
tokenizer_config.json
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