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Model: prithivMLmods/BetaCeti-Beta-4B-Prime1-GGUF
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2026-10-04 20:11:14 +08:00
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---
license: apache-2.0
language:
- en
base_model:
- prithivMLmods/BetaCeti-Beta-4B-Prime1
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- code
- math
---
# **BetaCeti-Beta-4B-Prime1-GGUF**
> **BetaCeti-Beta-4B-Prime1** is a compact, coding-optimized language model built on the **Qwen3-4B architecture**, tailored for high-accuracy **code generation**, **debugging**, and **technical reasoning**. With **4 billion parameters**, it strikes a balance between performance and efficiency, making it an ideal assistant for developers, educators, and engineers working in constrained environments or requiring fast inference.
## Model Files
| File Name | Precision | Size |
|--------------------------------------------|---------------|---------|
| BetaCeti-Beta-4B-Prime1.BF16.gguf | BF16 | 8.05 GB |
| BetaCeti-Beta-4B-Prime1.F16.gguf | FP16 | 8.05 GB |
| BetaCeti-Beta-4B-Prime1.F32.gguf | FP32 | 16.1 GB |
| BetaCeti-Beta-4B-Prime1.Q2_K.gguf | Q2_K | 1.67 GB |
| BetaCeti-Beta-4B-Prime1.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| BetaCeti-Beta-4B-Prime1.Q4_K_M.gguf | Q4_K_M | 2.50 GB |
| BetaCeti-Beta-4B-Prime1.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| BetaCeti-Beta-4B-Prime1.Q8_0.gguf | Q8_0 | 4.28 GB |
| config.json | Config File | 31 Bytes |
## Quants Usage
(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)
Here is a handy graph by ikawrakow comparing some lower-quality quant
types (lower is better):
![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)

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{
"model_type": "qwen3"
}

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{"framework": "pytorch", "task": "text-generation", "allow_remote": true}