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Model: vibhansh/Veda-8B-v1-Cognitive Source: Original Platform
2026-08-29 14:48:17 +08:00
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+---
+language:
+- en
+license: llama3
+tags:
+- llama
+- coding
+- reasoning
+- logic
+- gguf
+base_model: meta-llama/Meta-Llama-3-8B-Instruct
+pipeline_tag: text-generation
+---
+
+<div align="center">
+
+# 💠 VEDA-8B-v1-COGNITIVE
+
+### *Fine-tuned to think. Not just predict.*
+
+![](https://img.shields.io/badge/Base-Llama--3--8B-blue?style=for-the-badge)
+![](https://img.shields.io/badge/Method-LoRA-green?style=for-the-badge)
+![](https://img.shields.io/badge/Format-GGUF-orange?style=for-the-badge)
+![](https://img.shields.io/badge/Context-8192_tokens-purple?style=for-the-badge)
+
+**By Vibhansh Bamnia · 18 · Independent AI Developer · Rajasthan, India**
+
+[🚀 Try Demo](https://huggingface.co/spaces/vibhansh/Veda-Chat) · [📥 Download Model](#-quantization)
+
+</div>
+
+---
+
+## ⚡ 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 |
+
+---
+
+## 🧠 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:**
+```python
+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
+```
+</details>
+
+---
+
+## 💎 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 |
+
+---
+
+## 💻 Quick Start
+
+```python
+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)
+```
+
+---
+
+## ⚠️ Limitations
+
+- Inherits Llama-3-8B base limitations
+- Not for real-time / factual queries
+- Verify math-heavy outputs
+- Multilingual not tested
+
+---
+
+<div align="center">
+
+*No institution. No GPU cluster. No team.*
+*Just a focused fine-tune built to make small models reason correctly.*
+
+**Veda AI Labs** · [HuggingFace](https://huggingface.co/vibhansh)
+
+</div>