💠 VEDA-8B-v1-COGNITIVE

Fine-tuned to think. Not just predict.

By Vibhansh Bamnia · 18 · Independent AI Developer · Rajasthan, India

🚀 Try Demo · 📥 Download Model

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⚡ Why Veda-8B?

Most 8B models pattern-match. Veda-8B reasons.

LoRA fine-tuned on open-source reasoning datasets — built specifically to solve where standard Llama-3 fails.

Capability	Standard Llama-3-8B	Veda-8B-v1
Relational Chain Reasoning	⚠️ Often fails	✅ Reliable
Multi-hop Logic	⚠️ Inconsistent	✅ Strong
Code Hallucination	❌ Common	✅ Reduced
Chain-of-Thought	⚠️ Partial	✅ Complete

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🧠 See It In Action

🔗 Relational Reasoning

Prompt: A is B's father. C is A's sister. D is C's son. What is D's relation to B?

Veda-8B:

A is B's father → C is B's aunt → D is C's son
∴ D is B's cousin.

🔣 Logic Syllogism

Prompt: All Bloops are Razzies. All Razzies are Lazzies. Are all Bloops Lazzies?

Veda-8B:

Bloops ⊆ Razzies ⊆ Lazzies
∴ Yes — by transitivity, all Bloops are definitely Lazzies.

💻 Code (No Hallucination)

Prompt: Second largest unique number without sort()

Veda-8B:

def second_largest(nums):
    unique = set(nums)
    if len(unique) < 2:
        return None
    first = second = float('-inf')
    for n in unique:
        if n > first:
            second, first = first, n
        elif n > second:
            second = n
    return second

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💎 Quantization

Version	Size	RAM	Use
🥇 Q4_K_M	4.92 GB	8 GB	Local dev, edge
🥈 Q8_0	8.54 GB	16 GB	Production
🔬 F16	16 GB+	32 GB	Research

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💻 Quick Start

import llama_cpp

llm = llama_cpp.Llama(model_path="./Veda-8B-v1-Q4_K_M.gguf", n_ctx=8192, n_threads=4)

response = llm("A is taller than B. B is taller than C. Is A taller than C?",
               max_tokens=512, temperature=0.1)

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⚠️ Limitations

• Inherits Llama-3-8B base limitations
• Not for real-time / factual queries
• Verify math-heavy outputs
• Multilingual not tested

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No institution. No GPU cluster. No team. Just a focused fine-tune built to make small models reason correctly.

Veda AI Labs · HuggingFace