DeepHat V1 7B vs AceGPT v2 8B Chat
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepHat V1 7B | AceGPT v2 8B Chat | |
|---|---|---|
| Parameters | 7.6B | 8.0B |
| Context | 33K | 8K |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 4.6K | 1.9K |
| Released | Aug 2025 | Nov 2024 |
VRAM by Quantization: DeepHat V1 7B vs AceGPT v2 8B Chat
| Quantization | Bits | DeepHat V1 7B VRAM | AceGPT v2 8B Chat VRAM |
|---|---|---|---|
| BF16 | 16.00 | 15.7 GB | — |
| FP16 | 16.00 | — | 16.6 GB |
Verdict
DeepHat V1 7B supports a longer context window (33K tokens). DeepHat V1 7B is the more widely downloaded of the two.
Frequently Asked Questions
- Which has a longer context window, DeepHat V1 7B or AceGPT v2 8B Chat?
DeepHat V1 7B supports 32,768 tokens and AceGPT v2 8B Chat supports 8,192 tokens.
- What is the difference between DeepHat V1 7B and AceGPT v2 8B Chat?
DeepHat V1 7B is a 7.6B model from DeepHat, while AceGPT v2 8B Chat is a 8.0B model from FreedomIntelligence. Compare their VRAM requirements above to see which fits your GPU or Mac.