Veda-8B-v1-Cognitive

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💠 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.

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🧠 See It In Action

<details> <summary><b>🔗 Relational Reasoning</b></summary>

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.

</details> <details> <summary><b>🔣 Logic Syllogism</b></summary>

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.

</details> <details> <summary><b>💻 Code (No Hallucination)</b></summary>

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

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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

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