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Qwen3.8-Flash-Next-FP4-Local-Strata

Parameters
51.2B
Architecture
strata-ple
License
Commercial OK
Base model
nvidia/Qwen3.8-Flash-Next-FP4-Local

About Qwen3.8-Flash-Next-FP4-Local-Strata

Qwen3.8-Flash-Next-FP4-Local-Strata is a GGUF model based on nvidia/Qwen3.8-Flash-Next-FP4-Local on Hugging Face. GGUF files are published by hardhant/Qwen3.8-Flash-Next-FP4-Local-Strata. It has about 51.2B parameters, the strata-ple architecture (values written in the GGUF).

There is one quantization, BF16, with a file size of 1.27 GB (actual size on Hugging Face).

Running BF16 (1.27 GB) with an 8,192-token context needs an estimated 2.66 GB of memory, and an estimated 3.34 GB at 32,768 tokens. For 8,192 tokens, a GPU with 4 GB or more of VRAM (such as Arc A310, Arc A370M), or a Mac with 4 GB or more of unified memory, is a rough guide (macOS caps how much memory the GPU can use, so leave some headroom).

The original model is licensed under NVIDIA Open Model Agreement, which allows commercial use (keep the license text and copyright notice when redistributing). Check the original license for the terms of use. An mmproj file for image input is also available.

File size and estimated memory per quantization

  • Up to 8 GB
  • Up to 16 GB
  • Up to 24 GB
  • Up to 48 GB
  • Up to 128 GB
  • More

File sizes are the actual values on Hugging Face. Memory is estimated for each context length (KV cache f16). The formula is in How memory is calculated.

All memory figures are Estimated (KV cache f16). It should run on a setup with at least this much VRAM (or Mac unified memory). Click a value to see the devices and models that fit that amount (Find by GPU / Mac).

Using image input: This model supports image input. To use images, an mmproj file is loaded as well.

About the "quality guide" (how far a quantization drifts from the original)

For each quantization type, how far the output drifts from the original model, grouped into six levels from values llama.cpp measured on Llama-3-8B.

The value is mean KLD (the difference between the original and quantized model in next-token probabilities); smaller means closer to the original. Quantizations made with an imatrix (importance data) come out slightly smaller. Levels use the value without an imatrix (or with one, for types that only have that).

These values were not measured on this model. Larger models and MoE models tend to drift less with the same type. Distributor-specific mixed types (such as UD-Q4_K_XL) cannot be matched by type name alone, so they show "-".

Quantization Quality guide KLD (no imatrix) KLD (imatrix) Size (Llama-3-8B)
Q8_0 Nearly identical 0.0014 - 7.96 GiB
Q6_K Very small 0.0055 - 6.14 GiB
Q5_K_M Very small 0.0108 - 5.33 GiB
Q5_K_S Small 0.0166 - 5.21 GiB
Q5_1 Small 0.0180 - 5.65 GiB
Q5_0 Small 0.0222 - 5.21 GiB
Q4_K_M Small 0.0313 0.0282 4.58 GiB
Q4_K_S Medium 0.0431 0.0320 4.37 GiB
IQ4_NL Small - 0.0357 4.35 GiB
IQ4_XS Small - 0.0363 4.14 GiB
Q4_1 Medium 0.0717 - 4.78 GiB
Q4_0 Medium 0.0719 - 4.34 GiB
Q3_K_L Medium 0.0872 0.0731 4.03 GiB
Q3_K_M Medium 0.1019 0.0844 3.74 GiB
IQ3_M Medium - 0.1025 3.53 GiB
IQ3_S Medium - 0.1113 3.42 GiB
IQ3_XS Large - 0.1387 3.28 GiB
IQ3_XXS Large - 0.1836 3.05 GiB
Q3_K_S Large 0.2282 0.1998 3.41 GiB
IQ2_M Large - 0.3260 2.74 GiB
Q2_K Very large 0.4451 0.3322 2.96 GiB
Q2_K_S Very large - 0.4034 2.96 GiB
IQ2_S Very large - 0.4392 2.56 GiB
IQ2_XS Very large - 0.5463 2.43 GiB
IQ2_XXS Very large - 0.8120 2.24 GiB
IQ1_M Very large - 1.3931 2.01 GiB
IQ1_S Very large - 2.2546 1.88 GiB

Source: llama.cpp (MIT), measured on Llama-3-8B against FP16, Wikitext-2, revision f364eb6f. Original table · Reading and choosing quantizations

GGUF source

hardhant/Qwen3.8-Flash-Next-FP4-Local-Strata

Published by the original developer About this label

Last checked: Oct 31, 2026

Architecture
strata-ple
Not supported by mainline llama.cpp (as of b12025)
Parameters
51.2B
License
nvidia-open-model-agreement Commercial OK
File size and memory per quantization for Qwen3.8-Flash-Next-FP4-Local-Strata (hardhant/Qwen3.8-Flash-Next-FP4-Local-Strata)
Quantization File size Measured Quality guide 4,096 8,192 16,384 32,768 65,536 131,072 262,144
BF16 token-embd-fp4local-bf16 1.27 GB Original precision 2.55 GB 2.66 GB 2.89 GB 3.34 GB 4.25 GB 6.06 GB 9.68 GB
BF16 ple-fp4local-bf16 102 GB Original precision 104 GB 104 GB 104 GB 104 GB 105 GB 107 GB 111 GB

The mmproj file for image input (BF16) is 0.91 GB Measured . It is not included in the memory above, so add it if you use images.

This GGUF format (strata-ple) does not exist in mainline llama.cpp (as of b12025). Ollama, LM Studio and mainline llama.cpp cannot load it; use the dedicated tool described by the source.

License and commercial use

NVIDIA Open Model Agreement Commercial OK

Commercial use, modification and redistribution are allowed (NVIDIA states the works are commercially usable). The grant is irrevocable. When redistributing, include the license text, and if a NOTICE file exists, add "Licensed by NVIDIA Corporation under the NVIDIA Open Model Agreement." in derivatives. If you sue over patent or copyright infringement by the model, your license for it ends.

Based on the license on the original model's Hugging Face page. Original license text (checked Nov 1, 2026)

The summary states facts this site read from the original text and is not legal advice. Always check the original license and its latest terms before use. All licenses

Frequently asked questions

How much memory do I need to run Qwen3.8-Flash-Next-FP4-Local-Strata (BF16)?
The file size is 1.27 GB (measured). With a 8,192-token context, the estimated memory including the KV cache is 2.66 GB. The formula is published at https://localllm.az-arte.com/en/guide/memory-calculation.
Can Qwen3.8-Flash-Next-FP4-Local-Strata be used commercially?
The original model's license is NVIDIA Open Model Agreement (Commercial use allowed).Commercial use, modification and redistribution are allowed (NVIDIA states the works are commercially usable). The grant is irrevocable. When redistributing, include the license text, and if a NOTICE file exists, add "Licensed by NVIDIA Corporation under the NVIDIA Open Model Agreement." in derivatives. If you sue over patent or copyright infringement by the model, your license for it ends. Check the original license text before deciding.
Does Qwen3.8-Flash-Next-FP4-Local-Strata run in 8 GB, 12 GB, 16 GB or 24 GB of VRAM?
8 GB: up to BF16 (est. 2.66 GB); 12 GB: up to BF16 (est. 2.66 GB); 16 GB: up to BF16 (est. 2.66 GB); 24 GB: up to BF16 (est. 2.66 GB) (estimated at 8,192 tokens with an f16 KV cache, files from the most-downloaded source).