---
quantized_by: gghfez
pipeline_tag: text-generation
base_model: deepseek-ai/DeepSeek-V3.1
license: mit
base_model_relation: quantized
tags:
- mla
- imatrix
- deepseek_v3.1
- conversational
- ik_llama.cpp
---

## `ik_llama.cpp` imatrix Quantizations of deepseek-ai/DeepSeek-V3.1
This quant **REQUIRES** [ik_llama.cpp](https://github.com/ikawrakow/ik_llama.cpp/) fork to support the ik's latest SOTA quants and optimizations! Do **not** download these big files and expect them to run on mainline vanilla llama.cpp, ollama, LM Studio, KoboldCpp, etc!

*NOTE* `ik_llama.cpp` can also run your existing GGUFs from bartowski, unsloth, mradermacher, etc if you want to try it out before downloading my quants.

I made this for myself and my RAM+VRAM setup. For more ik_llama quants of this model, discussions, perplexity measurements, see @ubergarm's [DeepSeek-V3.1 Collection](https://huggingface.co/ubergarm/DeepSeek-V3.1-GGUF)

<details>
<summary>👈 Quant details</summary>

```bash
#!/usr/bin/env bash

custom="
# First 3 dense layers (0-3) (GPU)
# Using q8_0 for attn_k_b since imatrix might not have these tensors
blk\.[0-2]\.attn_k_b.*=q8_0
blk\.[0-2]\.attn_.*=iq5_ks
blk\.[0-2]\.ffn_down.*=iq5_ks
blk\.[0-2]\.ffn_(gate|up).*=iq4_ks
blk\.[0-2]\..*=iq5_ks

# All attention, norm weights, and bias tensors for MoE layers (3-60) (GPU)
# Using q8_0 for attn_k_b since imatrix might not have these tensors
blk\.[3-9]\.attn_k_b.*=q8_0
blk\.[1-5][0-9]\.attn_k_b.*=q8_0
blk\.60\.attn_k_b.*=q8_0

blk\.[3-9]\.attn_.*=iq5_ks
blk\.[1-5][0-9]\.attn_.*=iq5_ks
blk\.60\.attn_.*=iq5_ks

# Shared Expert (3-60) (GPU)
blk\.[3-9]\.ffn_down_shexp\.weight=iq5_ks
blk\.[1-5][0-9]\.ffn_down_shexp\.weight=iq5_ks
blk\.60\.ffn_down_shexp\.weight=iq5_ks

blk\.[3-9]\.ffn_(gate|up)_shexp\.weight=iq4_ks
blk\.[1-5][0-9]\.ffn_(gate|up)_shexp\.weight=iq4_ks
blk\.60\.ffn_(gate|up)_shexp\.weight=iq4_ks

# Routed Experts (3-60) (CPU)
blk\.[3-9]\.ffn_down_exps\.weight=iq3_ks
blk\.[1-5][0-9]\.ffn_down_exps\.weight=iq3_ks
blk\.60\.ffn_down_exps\.weight=iq3_ks

blk\.[3-9]\.ffn_(gate|up)_exps\.weight=iq2_ks
blk\.[1-5][0-9]\.ffn_(gate|up)_exps\.weight=iq2_ks
blk\.60\.ffn_(gate|up)_exps\.weight=iq2_ks

# Token embedding and output tensors (GPU)
token_embd\.weight=iq5_k
output\.weight=q8_0  # Changed to q8_0
"

custom=$(
  echo "$custom" | grep -v '^#' | \
  sed -Ez 's:\n+:,:g;s:,$::;s:^,::'
)

./build/bin/llama-quantize \
    --custom-q "$custom" \
    --imatrix /fast/DeepSeek-V3.1.imatrix \
    /fast/bf16/DeepSeek-V3-00001-of-00030.gguf
    /fast2/quants/DeepSeek-V3.1-IQ2_KS.gguf \
    IQ2_KS \
```
</details>