Files
SimpleChat-4B-V1-f32-GGUF/README.md
ModelHub XC 8e292208ba 初始化项目,由ModelHub XC社区提供模型
Model: prithivMLmods/SimpleChat-4B-V1-f32-GGUF
Source: Original Platform
2026-10-13 22:26:13 +08:00

43 lines
1.7 KiB
Markdown
Raw Blame History

This file contains ambiguous Unicode characters

This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.

---
license: apache-2.0
language:
- en
base_model:
- OpenBuddy/SimpleChat-4B-V1
pipeline_tag: text-generation
library_name: transformers
tags:
- text-generation-inference
- Non-CoT
---
# **SimpleChat-4B-V1-f32-GGUF**
> OpenBuddy’s SimpleChat-4B-V1 is a 4B-parameter conversational AI model built for streamlined, casual everyday interactions, emphasizing concise, rational, and creative responses without relying on complex chain-of-thought reasoning. Optimized for natural dialogue, SimpleChat-4B-V1 is part of the SimpleChat series exploring Non-Chain-of-Thought (Non-CoT) models, making it especially suitable for direct, engaging conversations that prioritize clarity and brevity while retaining the ability to enhance creativity and expressive capacity in outputs.
## Model Files
| File Name | Quant Type | File Size |
| - | - | - |
| SimpleChat-4B-V1.BF16.gguf | BF16 | 8.05 GB |
| SimpleChat-4B-V1.F16.gguf | F16 | 8.05 GB |
| SimpleChat-4B-V1.F32.gguf | F32 | 16.1 GB |
| SimpleChat-4B-V1.Q2_K.gguf | Q2_K | 1.67 GB |
| SimpleChat-4B-V1.Q3_K_L.gguf | Q3_K_L | 2.24 GB |
| SimpleChat-4B-V1.Q3_K_M.gguf | Q3_K_M | 2.08 GB |
| SimpleChat-4B-V1.Q3_K_S.gguf | Q3_K_S | 1.89 GB |
| SimpleChat-4B-V1.Q4_K_M.gguf | Q4_K_M | 2.5 GB |
| SimpleChat-4B-V1.Q4_K_S.gguf | Q4_K_S | 2.38 GB |
| SimpleChat-4B-V1.Q5_K_M.gguf | Q5_K_M | 2.89 GB |
| SimpleChat-4B-V1.Q5_K_S.gguf | Q5_K_S | 2.82 GB |
| SimpleChat-4B-V1.Q6_K.gguf | Q6_K | 3.31 GB |
| SimpleChat-4B-V1.Q8_0.gguf | Q8_0 | 4.28 GB |
## 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)