DeepSeek-R1-Distill-Llama-70B-GGUF
Or you can view more detailed instructions here: unsloth.ai/blog/deepseek-r1 1. Do not forget about and tokens! - Or use a chat template formatter 2. Obtain the latest llama.cpp at https://github.com/ggerganov/llama.cpp 3. Example with Q80 K quantized cache Notice -no-cnv disables auto conversation mode bash ./llama.cpp/llama-cli \ --model unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF/DeepSeek-R1-Distill-Llama-70B-Q4KM....
Params
—
Context
131,072
Downloads 30d
208 K
Likes
121
Download history
daily snapshots · 16 days208 K191 K
Sep 6Sep 11Sep 16Sep 21
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 |
|---|---|---|---|---|
| DeepSeek-R1-Distill-Llama-70B-Q2_K.gguf | Q2_K | 26.4 GB | 29.5 GB | ❌ Won’t fit |
| DeepSeek-R1-Distill-Llama-70B-Q2_K_L.gguf | Q2_K_L | 26.6 GB | 29.8 GB | ❌ Won’t fit |
| DeepSeek-R1-Distill-Llama-70B-Q3_K_S.gguf | Q3_K_S | 30.9 GB | 34.5 GB | ❌ Won’t fit |
| DeepSeek-R1-Distill-Llama-70B-Q3_K_M.gguf | Q3_K_M | 34.3 GB | 38.2 GB | ❌ Won’t fit |
| DeepSeek-R1-Distill-Llama-70B-IQ4_XS.gguf | IQ4_XS | 37.9 GB | 42.2 GB | ❌ Won’t fit |
| DeepSeek-R1-Distill-Llama-70B-IQ4_NL.gguf | IQ4_NL | 40.1 GB | 44.6 GB | ❌ Won’t fit |
| DeepSeek-R1-Distill-Llama-70B-Q4_0.gguf | Q4_0 | 40.1 GB | 44.6 GB | ❌ Won’t fit |
| DeepSeek-R1-Distill-Llama-70B-BF16-00001-of-00003.gguf | GGUF | 49.9 GB | 55.4 GB | ❌ Won’t fit |
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$ ollama run deepseek-r1-distill-llama-70b-gguf # pin the quantization explicitly $ ollama run deepseek-r1-distill-llama-70b-gguf-q4_0
$ huggingface-cli download unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF-GGUF \
DeepSeek-R1-Distill-Llama-70B-Q4_0.gguf --local-dir .
$ llama-cli -m DeepSeek-R1-Distill-Llama-70B-Q4_0.gguf \
-c 8192 -ngl 99 -t 8 --color
$ curl -s https://aimodelscomparison.com/api/v1/models/deepseek-r1-distill-llama-70b-gguf
{
"hf_id": "unsloth/DeepSeek-R1-Distill-Llama-70B-GGUF",
"params_b": null,
"context_length": 131072,
"license": { "id": "llama3.3", "commercial": "conditional" },
"downloads_30d": 207812,
"vram_estimates": [
{ "quant": "GGUF", "gb": 55.4 },
{ "quant": "IQ4_NL", "gb": 44.6 }
],
"updated_at": "2026-09-06T01:00:26Z"
}
Specifications
- Architecture
- LlamaForCausalLM
- Context length
- 131,072
- Vocabulary
- 128,256
- Layers / heads
- 80 / 64
- Licence
- llama3.3
- First seen on the Hub
- 2025-01-20
- Base model
- DeepSeek-R1-Distill-Llama-70B
- Training datasets
- undisclosed
- Added to our catalog
- 2026-09-06
Family
Base model and the most-downloaded derivatives in the catalog.
Compare with any text-generation model