deepseek-coder-6.7B-instruct-AWQ
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Params
6.7 B
Context
16,384
Downloads 30d
159 K
Likes
19
Download history
daily snapshots · 55 days
▲ 0 in the last 30 days (0.0%)
159 K159 K
Aug 22Sep 1Sep 11Sep 20
269 K159 K
Jul 28Aug 15Sep 2Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | i32 | 3.9 GB | 5.8 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 16K ctx | 3.9 GB | 6.8 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Run it
copy-paste, exact tags checked against the Hub$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-coder-6-7b-instruct-awq
{
"hf_id": "TheBloke/deepseek-coder-6.7B-instruct-AWQ",
"params_b": 6.74,
"context_length": 16384,
"license": { "id": "other", "commercial": "unknown" },
"downloads_30d": 159257,
"vram_estimates": [
{ "quant": "i32", "gb": 5.8 }
],
"updated_at": "2026-07-28T18:07:01Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Parameters
- 6.7 B
- Tensor type
- I32
- Context length
- 16,384
- Vocabulary
- 32,256
- Layers / heads
- 32 / 32
- Licence
- other
- First seen on the Hub
- 2023-11-05
- Base model
- deepseek-coder-6.7b-instruct
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model