AI21 Jamba Mini 1.5 vs DeepHat V1 7B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AI21 Jamba Mini 1.5 | DeepHat V1 7B | |
|---|---|---|
| Parameters | 51.6B | 7.6B |
| Context | — | 33K |
| Architecture | — | Qwen2ForCausalLM |
| License | Other | Apache 2.0 |
| Downloads | 10.0K | 4.6K |
| Released | Feb 2026 | Aug 2025 |
VRAM by Quantization: AI21 Jamba Mini 1.5 vs DeepHat V1 7B
| Quantization | Bits | AI21 Jamba Mini 1.5 VRAM | DeepHat V1 7B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 113.5 GB | 15.7 GB |
Verdict
DeepHat V1 7B needs less VRAM at BF16 (15.7 GB vs 113.5 GB), so it fits on smaller GPUs. AI21 Jamba Mini 1.5 is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, AI21 Jamba Mini 1.5 or DeepHat V1 7B?
At BF16, AI21 Jamba Mini 1.5 needs 113.5 GB and DeepHat V1 7B needs 15.7 GB, so DeepHat V1 7B is the lighter option to run locally.
- What is the difference between AI21 Jamba Mini 1.5 and DeepHat V1 7B?
AI21 Jamba Mini 1.5 is a 51.6B model from AI21 Labs, while DeepHat V1 7B is a 7.6B model from DeepHat. Compare their VRAM requirements above to see which fits your GPU or Mac.