GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

jkim96/GLM-4.7-Flash-DASHQ-Q2-GGUF overview

DASH Q https://raw.githubusercontent.com/JaeminK/dashq/main/assets/dashq banner.png GLM 4.7 Flash DASH Q 2 bit GGUF llama.cpp GGUF files of zai org/GLM 4.7 Fla…

ggufllama.cppdashqquantizedtext-generationbase_model:zai-org/GLM-4.7-Flashbase_model:quantized:zai-org/GLM-4.7-Flashlicense:mitendpoints_compatibleregion:usimatrixconversational

Runs locally from ~9.54 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
397
Likes
0
Pipeline
text-generation
Author

Repository Files & Downloads

3 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
GLM-4.7-Flash-DASHQ-IQ2_M.ggufGGUFIQ2_M9.99 GBDownload
GLM-4.7-Flash-DASHQ-IQ2_XXS.ggufGGUFIQ2_XXS9.54 GBDownload
GLM-4.7-Flash-DASHQ-Q2_K_XL.ggufGGUFQ2_K_XL10.76 GBDownload

Model Details

Model IDjkim96/GLM-4.7-Flash-DASHQ-Q2-GGUF
Authorjkim96
Pipelinetext-generation
Licensemit
Base modelzai-org/GLM-4.7-Flash
Last modified2026-10-06T02:37:19.000Z

Model README

---

license: mit

base_model: zai-org/GLM-4.7-Flash

base_model_relation: quantized

library_name: gguf

pipeline_tag: text-generation

tags:

  • gguf
  • llama.cpp
  • dashq
  • quantized

---

!DASH-Q

GLM-4.7-Flash - DASH-Q 2-bit GGUF

llama.cpp GGUF files of zai-org/GLM-4.7-Flash quantized with

DASH-Q, at several 2-bit-class sizes. Every file uses only standard

llama.cpp tensor types (no tensor above 4 bits) and loads in any recent llama.cpp build.

| File | Type | Size | Bits / weight |

| --- | --- | --- | --- |

| GLM-4.7-Flash-DASHQ-IQ2_XXS.gguf | IQ2_XXS | 10.25 GB | 2.63 |

| GLM-4.7-Flash-DASHQ-IQ2_M.gguf | IQ2_M | 10.73 GB | 2.76 |

| GLM-4.7-Flash-DASHQ-Q2_K_XL.gguf | Q2_K_XL | 11.55 GB | 2.97 |

Perplexity (lower is better)

| Type | Model | Size | WikiText-2 | C4 |

| --- | --- | --- | --- | --- |

| | Q8_0 | 33.20 GB | 10.37 | 17.51 |

| IQ2_XXS | llama.cpp IQ2_XXS (imatrix) | 8.77 GB | 31.83 | 38.15 |

| IQ2_XXS | unsloth UD-IQ2_XXS | 10.51 GB | 9.51 | 20.37 |

| IQ2_XXS | DASH-Q IQ2_XXS | 10.25 GB | 12.58 | 15.99 |

| IQ2_XS | llama.cpp IQ2_XS (imatrix) | 9.66 GB | 14.63 | 21.89 |

| IQ2_M | llama.cpp IQ2_M (imatrix) | 10.69 GB | 10.13 | 15.86 |

| IQ2_M | unsloth UD-IQ2_M | 10.99 GB | 12.04 | 20.27 |

| IQ2_M | DASH-Q IQ2_M | 10.73 GB | 8.88 | 13.92 |

| Q2_K_XL | llama.cpp Q2_K (imatrix) | 11.82 GB | 16.46 | 16.39 |

| Q2_K_XL | unsloth UD-Q2_K_XL | 11.89 GB | 12.55 | 15.93 |

| Q2_K_XL | DASH-Q Q2_K_XL | 11.56 GB | 12.17 | 13.99 |

llama-perplexity, context 2048; WikiText-2 test, C4 validation (256 x 2048 tokens).

Quality vs. the unquantized model (KL divergence)

Raw-text perplexity is not a meaningful quality metric for this instruction/reasoning model (the unquantized model itself scores

poorly on WikiText-2 while generating normally), so quality is reported as KL divergence of the next-token distribution to the

unquantized reference (llama-perplexity --kl-divergence, WikiText-2, 4 x 2048 tokens):

| Type | Model | Size | Mean KLD | Median KLD | Top-1 token agreement |

| --- | --- | --- | --- | --- | --- |

| IQ2_XXS | llama.cpp IQ2_XXS (imatrix) | 8.69 GB | 4.44 | 3.55 | 23.1% |

| IQ2_XXS | unsloth UD-IQ2_XXS | 10.51 GB | 0.22 | 0.09 | 81.8% |

| IQ2_XXS | DASH-Q IQ2_XXS | 10.25 GB | 0.22 | 0.09 | 81.4% |

| IQ2_XS | llama.cpp IQ2_XS (imatrix) | 9.59 GB | 1.82 | 1.28 | 45.8% |

| IQ2_M | llama.cpp IQ2_M (imatrix) | 10.63 GB | 0.56 | 0.32 | 69.4% |

| IQ2_M | unsloth UD-IQ2_M | 10.99 GB | 0.21 | 0.08 | 82.5% |

| IQ2_M | DASH-Q IQ2_M | 10.73 GB | 0.20 | 0.07 | 82.4% |

| Q2_K_XL | llama.cpp Q2_K (imatrix) | 11.75 GB | 0.69 | 0.40 | 66.5% |

| Q2_K_XL | unsloth UD-Q2_K_XL | 11.89 GB | 0.19 | 0.07 | 83.1% |

| Q2_K_XL | DASH-Q Q2_K_XL | 11.55 GB | 0.18 | 0.06 | 84.1% |

Usage

llama-cli -m GLM-4.7-Flash-DASHQ-Q2_K_XL.gguf -ngl 99 -c 8192

License

Inherits the license of the base model (zai-org/GLM-4.7-Flash).

Run jkim96/GLM-4.7-Flash-DASHQ-Q2-GGUF with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models