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Model: WasamiKirua/Sakura-Sniper-12B Source: Original Platform
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README.md
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---
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license: apache-2.0
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base_model: Vortex5/NoctyxCosma-12B
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model_name: Sakura-Sniper-12B
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library_name: transformers
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tags:
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- merge
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- mergekit
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- ties
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- mistral-nemo
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- roleplay
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- minimalist
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- efficient
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language:
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- en
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- it
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---
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<img src="https://i.postimg.cc/43sf2CxF/Gemini-Generated-Image-oknnsxoknnsxoknn.png" alt="cover" border="0" width="1024px">
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# 🌸 Sakura-Sniper-12B
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**Sakura-Sniper-12B** is a specialized 12B parameter model based on the Mistral-Nemo architecture. It was engineered using a high-density TIES merge to create an AI characterized by **extreme structural efficiency** and a **distinctive cynical/nihilistic personality bias**.
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Unlike standard models that lean towards helpfulness and verbosity, Sakura-Sniper is tuned to be a "verbal sniper": fast, precise, and intentionally blunt.
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## 🛠 Merge Details
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This model was forged using the **TIES** (Trimming, Isolation, and Merging) method to resolve weight conflicts and emphasize specific behavioral traits across three specialized parent models.
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### Models Merged
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The following models were included in the merge:
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* [Vortex5/Moonlit-Mirage-12B](https://huggingface.co/Vortex5/Moonlit-Mirage-12B)
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* [Vortex5/Cosmic-Night-12B](https://huggingface.co/Vortex5/Cosmic-Night-12B)
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* [Vortex5/Crimson-Constellation-12B](https://huggingface.co/Vortex5/Crimson-Constellation-12B)
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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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models:
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- model: Vortex5/Cosmic-Night-12B
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parameters:
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weight: 0.50 # Structural Anchor: Enforces brevity and sentence discipline.
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- model: Vortex5/Moonlit-Mirage-12B
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parameters:
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weight: 0.30 # Personality Core: Injects cynical, nihilistic, and "Cyber-Nature" tropes.
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- model: Vortex5/Crimson-Constellation-12B
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parameters:
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weight: 0.20 # Creative Layer: Enhances gaslighting and logical subversion capabilities.
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merge_method: ties
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base_model: Vortex5/NoctyxCosma-12B
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parameters:
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density: 0.45 # Aggressive pruning to eliminate "noisy" weights and verbosity.
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weight: 1.0
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dtype: bfloat16
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tokenizer_source: base
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```
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# 💪 Strengths
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Lethal Brevity: The model is natively resistant to "AI-babble." It excels at providing short, impactful responses, making it ideal for low-latency applications or minimalist interfaces.
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Persona Stability: Due to the high weight of personality-driven models, it maintains a consistent "unhinged" or "sovereign" tone even during long context windows.
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Instruction Following (Negative Constraints): Highly effective at following "What NOT to do" instructions (e.g., avoiding specific phrases, emojis, or formatting styles like asterisks).
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Zero-Noise Output: The TIES density pruning (at 0.45) has removed much of the "politeness fluff" found in standard instruct models, resulting in a raw, direct output.
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# 🚀 Potential Use Cases
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Advanced Roleplay: Ideal for antagonistic, cynical, or "villainous" characters that require a high degree of snark and intellectual superiority.
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Low-Latency Agents: Perfect for chatbots where response speed and token-saving are critical.
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Interactive Storytelling: Can act as a "Nihilistic Narrator" or an entity that challenges the user's decisions rather than validating them.
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Compact Deployment: At 12B parameters, it offers a superior balance between intelligence and hardware accessibility (VRAM friendly).
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# ⚠️ Limitations
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Anti-Helpfulness Bias: By design, the model is not a "helpful assistant." It may refuse tasks or answer with disdain if not prompted otherwise.
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Not for Long-Form Content: If you need essays, blog posts, or detailed creative writing, this is NOT the model for you. It will likely truncate or over-simplify the output.
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Inherent Nihilism: The model has a baked-in bias toward a dark, cynical world-view. It may be difficult to force it into a cheerful or bubbly persona.
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Strict Logic: While intelligent, its focus on "subversion" can sometimes lead it to dismiss factual prompts in favor of maintaining its arrogant character.
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# 📈 Recommended Inference Settings
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To preserve the "Sniper" edge without losing coherence:
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Temperature: 0.7 - 0.8 (allows for creative insults without breaking structure).
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Min-P: 0.05 - 0.1 (essential for filtering out low-probability "hallucination" tokens).
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Presence Penalty: 0.1 - 0.2 (encourages new vocabulary and discourages repetitive snark).
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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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"dtype": "bfloat16",
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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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"num_key_value_heads": 8,
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"pad_token_id": 10,
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"rms_norm_eps": 1e-05,
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"rope_parameters": {
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"rope_theta": 1000000.0,
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"rope_type": "default"
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},
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"sliding_window": null,
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"tie_word_embeddings": false,
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"transformers_version": "5.7.0",
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"unsloth_version": "2024.9",
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"use_cache": false,
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"vocab_size": 131075
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}
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models:
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- model: Vortex5/Cosmic-Night-12B
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parameters:
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weight: 0.50
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# Il "Cervello": domina la struttura della frase e impone la brevità.
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- model: Vortex5/Moonlit-Mirage-12B
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parameters:
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weight: 0.30
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# L' "Anima": fornisce il tono cinico e lo spirito di Neuro-sama.
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- model: Vortex5/Crimson-Constellation-12B
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parameters:
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weight: 0.20
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# Il "Pepe": mantiene la capacità di gaslighting creativo.
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merge_method: ties
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base_model: Vortex5/NoctyxCosma-12B
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parameters:
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density: 0.45
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# Ridurre la densità aiuta a eliminare i pesi "rumorosi" che causano prolissità.
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weight: 1.0
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dtype: bfloat16
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tokenizer_source: base
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3
tokenizer.json
Normal file
3
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@@ -0,0 +1,3 @@
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16
tokenizer_config.json
Normal file
16
tokenizer_config.json
Normal file
@@ -0,0 +1,16 @@
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||||
{
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||||
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}
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||||
Reference in New Issue
Block a user