DeepHat V1 7B vs ALLaM 7B Instruct Preview
Side-by-side comparison of VRAM requirements, quantization, context length, and hardware compatibility.
Specifications
| DeepHat V1 7B | ALLaM 7B Instruct Preview | |
|---|---|---|
| Parameters | 7.6B | 7.0B |
| Context | 33K | 4K |
| Architecture | Qwen2ForCausalLM | LlamaForCausalLM |
| License | Apache 2.0 | Apache 2.0 |
| Downloads | 4.6K | 8.8K |
| Released | Aug 2025 | Jul 2025 |
VRAM by Quantization: DeepHat V1 7B vs ALLaM 7B Instruct Preview
| Quantization | Bits | DeepHat V1 7B VRAM | ALLaM 7B Instruct Preview VRAM |
|---|---|---|---|
| BF16 | 16.00 | 15.7 GB | 15.4 GB |
Verdict
ALLaM 7B Instruct Preview needs less VRAM at BF16 (15.4 GB vs 15.7 GB), so it fits on smaller GPUs. DeepHat V1 7B supports a longer context window (33K tokens). ALLaM 7B Instruct Preview is the more widely downloaded of the two.
Frequently Asked Questions
- Which needs less VRAM, DeepHat V1 7B or ALLaM 7B Instruct Preview?
At BF16, DeepHat V1 7B needs 15.7 GB and ALLaM 7B Instruct Preview needs 15.4 GB, so ALLaM 7B Instruct Preview is the lighter option to run locally.
- Which has a longer context window, DeepHat V1 7B or ALLaM 7B Instruct Preview?
DeepHat V1 7B supports 32,768 tokens and ALLaM 7B Instruct Preview supports 4,096 tokens.
- What is the difference between DeepHat V1 7B and ALLaM 7B Instruct Preview?
DeepHat V1 7B is a 7.6B model from DeepHat, while ALLaM 7B Instruct Preview is a 7.0B model from humain-ai. Compare their VRAM requirements above to see which fits your GPU or Mac.