Short answer: DeepSeek’s official DeepSeek-R1-Distill-Qwen-14B repository displays about 29.5GB for its full-precision checkpoint. Raw 14B-label arithmetic is about 7GB at 4-bit, 14GB at 8-bit and 28GB at 16-bit before artifact overhead, KV cache and runtime allocations. A compact 4-bit conversion can target 12GB, while 16GB gives more practical room for cache and runtime state.
This is a dense 14B model based on Qwen2.5-14B—not the 671B DeepSeek-R1 MoE model. Use the complete repository name when choosing an artifact, tokenizer, prompt template and hardware tier.
Official checkpoint and weight-memory floor
The official repository displays 29.5GB across four safetensors shards. That is the full-precision checkpoint, not an official GGUF size table or a measured peak allocation. Lower-precision values below use 14 billion parameters × bits per parameter ÷ 8.
| Artifact or nominal precision | Size or raw floor | Hardware implication before overhead |
|---|---|---|
| Official full-precision repository | 29.5GB displayed | Targets 32GB+ or deliberate split/offload placement |
| 4-bit raw floor | 7GB / 6.5GiB | Can target 12GB with exact-artifact and workload checks |
| 5-bit raw floor | 8.75GB / 8.1GiB | Still a 12GB candidate, with less nominal margin |
| 6-bit raw floor | 10.5GB / 9.8GiB | Tight on 12GB after cache and runtime allocations |
| 8-bit raw floor | 14GB / 13.0GiB | Targets 16GB with context-specific headroom checks |
| 16-bit raw floor | 28GB / 26.1GiB | Consistent with the repository’s roughly 29.5GB display |
Illustrative KV-cache payload at 8K, 32K and 128K
DeepSeek’s official configuration lists 131,072 maximum positions, 48 layers, eight KV heads, a 5,120 hidden dimension and 40 attention heads—giving a 128-element head dimension. For one sequence with FP16 key/value entries:
2 × 48 layers × 8 KV heads × 128 head dimension × 2 bytes × token slots
| Allocated token slots | Illustrative FP16 K+V payload | Combined with 4-bit raw floor |
|---|---|---|
| 8,192 | 1.5GiB | About 8.0GiB before runtime overhead |
| 32,768 | 6GiB | About 12.5GiB before runtime overhead |
| 131,072 | 24GiB | About 30.5GiB before runtime overhead |
Can DeepSeek-R1-Distill-Qwen-14B run on 8GB?
The nominal 4-bit raw floor is about 7GB, leaving very little room inside an 8GB label for an actual artifact, KV cache and runtime state. Very low-bit conversions or CPU offload can make some configurations load, but they alter quality or performance. Eight gigabytes is a constrained experiment, not a universal all-GPU target.
Is 12GB enough?
Twelve gigabytes is the first common compact-4-bit target. Nominal 5-bit can also be plausible, while 6-bit becomes tight once cache and buffers are added. At 32K, the illustrative FP16 cache payload alone is about 6GiB, so a 12GB device cannot combine that cache with a 4-bit raw floor before overhead. Use a smaller or quantized cache, shorter context or offload only after measuring the complete workload.
What do 16GB and 24GB change?
Sixteen gigabytes gives compact artifacts more working room and can target nominal 8-bit only with tight context-specific checks; the 8-bit raw floor is already 14GB. Twenty-four gigabytes is a stronger long-context or larger-quantization tier, but the full 128K illustrative FP16 cache is itself about 24GiB—larger than a 24GB decimal device before any weights or overhead.
Reasoning output changes the workload test
Reasoning-tuned models can produce long completions. Maximum output length, stop behavior, prompt template and generation settings affect latency and memory. DeepSeek notes that its distilled models slightly change configs and tokenizers and recommends using its settings. Keep those fields explicit in every comparison.
A reproducible validation checklist
- Record the complete model name, artifact revision and quantization.
- Verify the intended tokenizer, prompt template and generation settings.
- Set context, cache precision, batch, concurrency and maximum output.
- Add display use, buffers and other device allocations.
- Measure peak device and host memory during the longest representative reasoning request.
- Evaluate output quality for the selected quantization.
- Record prompt processing, generation speed and time to first token separately.
Choose the next evidence
Compare every distill size · Read the general 14B guide · Compare 12GB, 16GB and 24GB paths · Compare mainstream memory tiers · Estimate the complete workload · Understand KV-cache VRAM · Plan CPU offload · Run a repeatable test · Share a measured result · Follow matching hardware
Sources and limits
- Official DeepSeek-R1-Distill-Qwen-14B repository
- Official model configuration
- Official DeepSeek-R1 repository and model table
- HighVRAM methodology
Reviewed October 25, 2026. The 29.5GB repository display and architecture fields come from DeepSeek’s official pages. Weight and cache calculations are transparent planning arithmetic, not measured peak-memory claims. HighVRAM has not independently benchmarked every configuration. Capacity does not establish speed, reasoning quality or value.