AI21 Jamba Reasoning 3B vs DeepHat V1 7B
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| AI21 Jamba Reasoning 3B | DeepHat V1 7B | |
|---|---|---|
| Parameters | 3.2B | 7.6B |
| Context | 262K | 33K |
| Architecture | JambaForCausalLM | Qwen2ForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 2.9K | 4.6K |
| Released | Oct 2025 | Aug 2025 |
VRAM by Quantization: AI21 Jamba Reasoning 3B vs DeepHat V1 7B
| Quantization | Bits | AI21 Jamba Reasoning 3B VRAM | DeepHat V1 7B VRAM |
|---|---|---|---|
| BF16 | 16.00 | 6.7 GB | 15.7 GB |
Verdict
AI21 Jamba Reasoning 3B needs less VRAM at BF16 (6.7 GB vs 15.7 GB), so it fits on smaller GPUs. AI21 Jamba Reasoning 3B supports a longer context window (262K tokens). DeepHat V1 7B is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, AI21 Jamba Reasoning 3B or DeepHat V1 7B?
At BF16, AI21 Jamba Reasoning 3B needs 6.7 GB and DeepHat V1 7B needs 15.7 GB, so AI21 Jamba Reasoning 3B is the lighter option to run locally.
- Which has a longer context window, AI21 Jamba Reasoning 3B or DeepHat V1 7B?
AI21 Jamba Reasoning 3B supports 262,144 tokens and DeepHat V1 7B supports 32,768 tokens.
- What is the difference between AI21 Jamba Reasoning 3B and DeepHat V1 7B?
AI21 Jamba Reasoning 3B is a 3.2B 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.