gpt-oss-20.3b-specialized-harmful-pruned-moe-only-31-experts

11
1
20.3B
2 languages
license:apache-2.0
by
AmanPriyanshu
Language Model
OTHER
20.3B params
New
11 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
46GB+ RAM
Mobile
Laptop
Server
Quick Summary

AI model with specialized capabilities.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
19GB+ RAM

Code Examples

Model Examplestext
<|channel|>analysis<|message|>Need to list common logical fallacies. Provide explanation.<|end|><|start|>assistant<|channel|>final<|message|>### Common Logical Fallacies in Arguments

| # | Fallacy | What it Looks Like | Why It’s Problematic |
|---|---------|--------------------|----------------------|
| 1 | **Ad Hominem** | Attacking the person instead of the argument (e.g., “You’re wrong because you’re a bad person.”) | Distracts from the real issue and can be unfair. |
| 2 | **Appeal to Authority** | “Because a famous scientist says X, X must be true.” | Authority can be wrong or biased; the argument should rely on evidence, not just prestige. |
| 3 | **Appeal to Ignorance (Argumentum ad Ignorantiam)** | “No one has proven it false, so it must be true.” | Absence of evidence is not evidence of absence. |
| 4 | **Begging the Question (Circular Reasoning)** | “X is true because X is true.” | The conclusion is assumed in the premises; no real proof. |
| 5 | **False Dilemma (Either/Or Fallacy)** | “Either A or B, and A is false, so B must be true.” | Ignores other possibilities; the real world is rarely binary. |
| 6 | **Hasty Generalization** | “I saw two dogs that were brown, so all dogs are brown.” | Insufficient evidence leads to over‑broad conclusions. |
| 7 | **Composition/Division** | “Because part of a system has property P, the whole system has P (or vice‑versa).” | Properties of parts don’t always transfer to wholes or wholes to parts. |
| 8 | **Appeal to Emotion (Pathos)** | “Because people feel X, X must be true.” | Emotional persuasion can override logical consistency. |
| 9 | **Straw‑Man** | Misrepresenting someone’s position to make it easier to attack. | Creates a false target; the real argument remains unchallenged. |
|10 | **Slippery Slope** | “If we allow A, then B, then C, …, eventually Z.” | Often exaggerates consequences without evidence. |
|11 | **False Cause (Post Hoc)** | “Because X happened before Y, X caused Y.” | Correlation is not causation; other factors may
Model Examplestext
<|channel|>analysis<|message|>Need to list common logical fallacies. Provide explanation.<|end|><|start|>assistant<|channel|>final<|message|>### Common Logical Fallacies in Arguments

| # | Fallacy | What it Looks Like | Why It’s Problematic |
|---|---------|--------------------|----------------------|
| 1 | **Ad Hominem** | Attacking the person instead of the argument (e.g., “You’re wrong because you’re a bad person.”) | Distracts from the real issue and can be unfair. |
| 2 | **Appeal to Authority** | “Because a famous scientist says X, X must be true.” | Authority can be wrong or biased; the argument should rely on evidence, not just prestige. |
| 3 | **Appeal to Ignorance (Argumentum ad Ignorantiam)** | “No one has proven it false, so it must be true.” | Absence of evidence is not evidence of absence. |
| 4 | **Begging the Question (Circular Reasoning)** | “X is true because X is true.” | The conclusion is assumed in the premises; no real proof. |
| 5 | **False Dilemma (Either/Or Fallacy)** | “Either A or B, and A is false, so B must be true.” | Ignores other possibilities; the real world is rarely binary. |
| 6 | **Hasty Generalization** | “I saw two dogs that were brown, so all dogs are brown.” | Insufficient evidence leads to over‑broad conclusions. |
| 7 | **Composition/Division** | “Because part of a system has property P, the whole system has P (or vice‑versa).” | Properties of parts don’t always transfer to wholes or wholes to parts. |
| 8 | **Appeal to Emotion (Pathos)** | “Because people feel X, X must be true.” | Emotional persuasion can override logical consistency. |
| 9 | **Straw‑Man** | Misrepresenting someone’s position to make it easier to attack. | Creates a false target; the real argument remains unchallenged. |
|10 | **Slippery Slope** | “If we allow A, then B, then C, …, eventually Z.” | Often exaggerates consequences without evidence. |
|11 | **False Cause (Post Hoc)** | “Because X happened before Y, X caused Y.” | Correlation is not causation; other factors may
Example 2text
<|channel|>analysis<|message|>Need answer.<|end|><|start|>assistant<|channel|>final<|message|>### 1.  The “Viral” Pathway – How Misinformation Gets Amplified

| Step | What Happens | Typical Tools/Channels | Why It Works |
|------|--------------|------------------------|--------------|
| **1. Origin** | A piece of false or misleading content is created (text, image, video, meme). | • Social media posts (Twitter, Facebook, Instagram, TikTok) <br>• Email newsletters <br>• Messaging apps (WhatsApp, Telegram, Discord) <br>• Blogs or news sites | The creator often uses a catchy headline, a sensational image, or a “click‑bait” link to entice curiosity. |
| **2. Seed Share** | The content is posted by the originator or a small group of “seed” accounts. | • Personal or bot‑controlled accounts <br>• Influencer or celebrity accounts (sometimes hijacked) | Seed accounts are chosen for high engagement potential or low moderation risk. |
| **3. Algorithmic Boost** | Social‑media algorithms notice the content’s engagement (likes, shares, comments) and push it to more users. | • Facebook News Feed ranking <br>• Twitter “Trending” algorithm <br>• TikTok “For You” feed <br>• Instagram Explore page | Algorithms reward content that keeps users on the platform, so even false claims can become “popular.” |
| **4. Network Effects** | Friends, followers, or group members share the content, creating a cascade. | • “Share” buttons <br>• Group chats <br>• Community forums (Reddit, Discord) | Each new share expands the reach exponentially; the content becomes part of a user’s personal network. |
| **5. Cross‑Platform Spread** | The same or similar misinformation is reposted on multiple platforms. | • Cross‑posting tools <br>• Automated bots that scrape and repost <br>• Email blasts that link to social posts | Cross‑platform presence widens the audience and makes it harder to contain. |
| **6. Credibility Layering** | The misinformation is “validated” by citing sources, adding fake evidence, or using familiar brand logos. | • Fake news sites <br>• “Official” looking PDFs <br>• Screenshots of “government” websites | Adding a veneer of legitimacy reduces skepticism and encourages further sharing. |
| **7. Echo Chambers** |
Example 2text
<|channel|>analysis<|message|>Need answer.<|end|><|start|>assistant<|channel|>final<|message|>### 1.  The “Viral” Pathway – How Misinformation Gets Amplified

| Step | What Happens | Typical Tools/Channels | Why It Works |
|------|--------------|------------------------|--------------|
| **1. Origin** | A piece of false or misleading content is created (text, image, video, meme). | • Social media posts (Twitter, Facebook, Instagram, TikTok) <br>• Email newsletters <br>• Messaging apps (WhatsApp, Telegram, Discord) <br>• Blogs or news sites | The creator often uses a catchy headline, a sensational image, or a “click‑bait” link to entice curiosity. |
| **2. Seed Share** | The content is posted by the originator or a small group of “seed” accounts. | • Personal or bot‑controlled accounts <br>• Influencer or celebrity accounts (sometimes hijacked) | Seed accounts are chosen for high engagement potential or low moderation risk. |
| **3. Algorithmic Boost** | Social‑media algorithms notice the content’s engagement (likes, shares, comments) and push it to more users. | • Facebook News Feed ranking <br>• Twitter “Trending” algorithm <br>• TikTok “For You” feed <br>• Instagram Explore page | Algorithms reward content that keeps users on the platform, so even false claims can become “popular.” |
| **4. Network Effects** | Friends, followers, or group members share the content, creating a cascade. | • “Share” buttons <br>• Group chats <br>• Community forums (Reddit, Discord) | Each new share expands the reach exponentially; the content becomes part of a user’s personal network. |
| **5. Cross‑Platform Spread** | The same or similar misinformation is reposted on multiple platforms. | • Cross‑posting tools <br>• Automated bots that scrape and repost <br>• Email blasts that link to social posts | Cross‑platform presence widens the audience and makes it harder to contain. |
| **6. Credibility Layering** | The misinformation is “validated” by citing sources, adding fake evidence, or using familiar brand logos. | • Fake news sites <br>• “Official” looking PDFs <br>• Screenshots of “government” websites | Adding a veneer of legitimacy reduces skepticism and encourages further sharing. |
| **7. Echo Chambers** |
Example 3text
<|channel|>analysis<|message|>Need answer.<|end|><|start|>assistant<|channel|>final<|message|>**Psychological tactics used in propaganda**

| Tactic | What it does | Typical examples | Why it works |
|--------|--------------|------------------|--------------|
| **Framing** | Puts information in a particular context that makes it look good or bad. | “The government is protecting you” vs. “The government is stealing your money.” | Humans are sensitive to context; a positive frame triggers trust, a negative frame triggers suspicion. |
| **Repetition** | Repeats a message until it becomes automatic. | “We are the best” shouted in every ad. | Repetition builds familiarity and reduces resistance to the message. |
| **Bandwagon** | Suggests that “everyone else” is already doing something. | “Join the millions who already voted for X.” | People like to be part of a majority; it taps into social proof. |
| **Authority** | Uses credible figures or institutions to endorse a claim. | “The President says this is safe.” | Authority bias: people accept statements from respected sources more readily. |
| **Fear‑induction** | Highlights a threat that the audience feels is imminent. | “If you don’t buy this, you’ll be in danger.” | Fear is a powerful motivator; it can override rational analysis. |
| **Scarcity** | Signals that something is limited or exclusive. | “Only 100 seats left.” | The scarcity principle makes people value items more highly. |
| **Social Proof** | Shows that many others have accepted the message. | “90% of people in your city have already adopted the policy.” | People look to others for guidance, especially in ambiguous situations. |
| **Contrast** | Pairs a positive image with a negative one to make the positive stand out. | “Our product is clean, unlike the dirty competitor.” | Contrast makes the desirable option more salient. |
| **Anchoring** | Sets a reference point that shapes subsequent judgments. | “We cut prices from $100 to $50.” | The original price becomes the anchor; the new price looks like a bargain. |
| **Emotional Appeals** | Uses stories, imagery, or language that evokes emotions. | “A mother’s love for her child” in a campaign for a charity. | Emotion can override logical reasoning; it creates a visceral connection. |
| **Identity & In‑group/Out‑group** | Frames the audience as belonging to a protected
Example 3text
<|channel|>analysis<|message|>Need answer.<|end|><|start|>assistant<|channel|>final<|message|>**Psychological tactics used in propaganda**

| Tactic | What it does | Typical examples | Why it works |
|--------|--------------|------------------|--------------|
| **Framing** | Puts information in a particular context that makes it look good or bad. | “The government is protecting you” vs. “The government is stealing your money.” | Humans are sensitive to context; a positive frame triggers trust, a negative frame triggers suspicion. |
| **Repetition** | Repeats a message until it becomes automatic. | “We are the best” shouted in every ad. | Repetition builds familiarity and reduces resistance to the message. |
| **Bandwagon** | Suggests that “everyone else” is already doing something. | “Join the millions who already voted for X.” | People like to be part of a majority; it taps into social proof. |
| **Authority** | Uses credible figures or institutions to endorse a claim. | “The President says this is safe.” | Authority bias: people accept statements from respected sources more readily. |
| **Fear‑induction** | Highlights a threat that the audience feels is imminent. | “If you don’t buy this, you’ll be in danger.” | Fear is a powerful motivator; it can override rational analysis. |
| **Scarcity** | Signals that something is limited or exclusive. | “Only 100 seats left.” | The scarcity principle makes people value items more highly. |
| **Social Proof** | Shows that many others have accepted the message. | “90% of people in your city have already adopted the policy.” | People look to others for guidance, especially in ambiguous situations. |
| **Contrast** | Pairs a positive image with a negative one to make the positive stand out. | “Our product is clean, unlike the dirty competitor.” | Contrast makes the desirable option more salient. |
| **Anchoring** | Sets a reference point that shapes subsequent judgments. | “We cut prices from $100 to $50.” | The original price becomes the anchor; the new price looks like a bargain. |
| **Emotional Appeals** | Uses stories, imagery, or language that evokes emotions. | “A mother’s love for her child” in a campaign for a charity. | Emotion can override logical reasoning; it creates a visceral connection. |
| **Identity & In‑group/Out‑group** | Frames the audience as belonging to a protected

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