What is ashuaria/Step-3.7-Flash-GGUF-FineTune?

--- license: apache-2.0 base_model: stepfun-ai/Step-3.7-Flash base_model_relation: quantized pipeline_tag: image-text-to-text library_name: gguf tags: - gguf - llama.cpp - quantized - imatrix - moe - agent - tool-calling - reasoning - vision - multimodal language: - en - zh - ja - ko - ar - hi - de - fr - es - ru --- **[ModelPage]**: https://static.stepfun.com/blog/step-3.7-flash/ ## 1. Introduction GGUF quantizations of [`stepfun-ai/Step-3.7-Flash`](https://huggingface.co/stepfun-ai/Step-3.7-Flash). Step-3.7-Flash is a 198B-parameter sparse Mixture-of-Experts vision-language model from StepFun-ai, activating ~11B parameters per token for up to 400 t/s throughput. It pairs a 196B-parameter language backbone with a 1.8B-parameter vision encoder for native image understanding, supports a 256K context window, and offers three selectable reasoning levels (low / medium / high) to balance spe…

What license applies to ashuaria/Step-3.7-Flash-GGUF-FineTune?

License: apache-2.0. Verify terms on Hugging Face before commercial use.

How do I run ashuaria/Step-3.7-Flash-GGUF-FineTune locally?

Download a GGUF file from this page and load it in guIDE or llama.cpp. Pipeline task: image-text-to-text.

Model Intelligence Sheet

ashuaria/Step-3.7-Flash-GGUF-FineTune overview

ModelPage : https://static.stepfun.com/blog/step 3.7 flash/ 1. Introduction GGUF quantizations of stepfun ai/Step 3.7 Flash https://huggingface.co/stepfun ai/S…

ggufllama.cppquantizedimatrixmoeagenttool-callingreasoningvisionmultimodalimage-text-to-textenzhjakoarhidefresrubase_model:stepfun-ai/Step-3.7-Flashbase_model:quantized:stepfun-ai/Step-3.7-Flashlicense:apache-2.0

Runs locally from ~444.4 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads

Likes

Pipeline

image-text-to-text

Author

ashuaria

Repository Files & Downloads

32 GGUF files detected

Direct downloads for local inference

File	Type	Quantization	Size	Link
BF16/Step3.7-flash-bf16-00001-of-00009.gguf	GGUF	BF16	41.59 GB	Download
BF16/Step3.7-flash-bf16-00002-of-00009.gguf	GGUF	BF16	43.31 GB	Download
BF16/Step3.7-flash-bf16-00003-of-00009.gguf	GGUF	BF16	43.25 GB	Download
BF16/Step3.7-flash-bf16-00004-of-00009.gguf	GGUF	BF16	43.31 GB	Download
BF16/Step3.7-flash-bf16-00005-of-00009.gguf	GGUF	BF16	43.31 GB	Download
BF16/Step3.7-flash-bf16-00006-of-00009.gguf	GGUF	BF16	43.31 GB	Download
BF16/Step3.7-flash-bf16-00007-of-00009.gguf	GGUF	BF16	43.25 GB	Download
BF16/Step3.7-flash-bf16-00008-of-00009.gguf	GGUF	BF16	43.31 GB	Download
BF16/Step3.7-flash-bf16-00009-of-00009.gguf	GGUF	BF16	22.30 GB	Download
IQ3_XXS/Step-3.7-flash-IQ3_XXS-00001-of-00002.gguf	GGUF	IQ3_XXS	43.44 GB	Download
IQ3_XXS/Step-3.7-flash-IQ3_XXS-00002-of-00002.gguf	GGUF	IQ3_XXS	27.11 GB	Download
IQ4_XS/Step-3.7-flash-IQ4_XS-00001-of-00003.gguf	GGUF	IQ4_XS	43.29 GB	Download
IQ4_XS/Step-3.7-flash-IQ4_XS-00002-of-00003.gguf	GGUF	IQ4_XS	43.77 GB	Download
IQ4_XS/Step-3.7-flash-IQ4_XS-00003-of-00003.gguf	GGUF	IQ4_XS	10.72 GB	Download
Q3_K_L/Step-3.7-flash-Q3_K_L-00001-of-00003.gguf	GGUF	Q3_K_L	43.35 GB	Download
Q3_K_L/Step-3.7-flash-Q3_K_L-00002-of-00003.gguf	GGUF	Q3_K_L	43.21 GB	Download
Q3_K_L/Step-3.7-flash-Q3_K_L-00003-of-00003.gguf	GGUF	Q3_K_L	8.90 GB	Download
Q3_K_M/Step-3.7-flash-Q3_K_M-00001-of-00003.gguf	GGUF	Q3_K_M	43.56 GB	Download
Q3_K_M/Step-3.7-flash-Q3_K_M-00002-of-00003.gguf	GGUF	Q3_K_M	43.20 GB	Download
Q3_K_M/Step-3.7-flash-Q3_K_M-00003-of-00003.gguf	GGUF	Q3_K_M	620.9 MB	Download
Q4_K_S/Step-3.7-flash-Q4_K_S-00001-of-00003.gguf	GGUF	Q4_K_S	43.72 GB	Download
Q4_K_S/Step-3.7-flash-Q4_K_S-00002-of-00003.gguf	GGUF	Q4_K_S	43.11 GB	Download
Q4_K_S/Step-3.7-flash-Q4_K_S-00003-of-00003.gguf	GGUF	Q4_K_S	17.01 GB	Download
Q8_0/Step-3.7-flash-Q8_0-00001-of-00005.gguf	GGUF	Q8_0	43.26 GB	Download
Q8_0/Step-3.7-flash-Q8_0-00002-of-00005.gguf	GGUF	Q8_0	42.93 GB	Download
Q8_0/Step-3.7-flash-Q8_0-00003-of-00005.gguf	GGUF	Q8_0	42.93 GB	Download
Q8_0/Step-3.7-flash-Q8_0-00004-of-00005.gguf	GGUF	Q8_0	43.00 GB	Download
Q8_0/Step-3.7-flash-Q8_0-00005-of-00005.gguf	GGUF	Q8_0	22.91 GB	Download
Step-3.7.imatrix.gguf	GGUF	GGUF	444.4 MB	Download
Step3.7-flash-mtp-BF16.gguf	GGUF	BF16	6.49 GB	Download
Step3.7-flash-mtp-Q8_0.gguf	GGUF	Q8_0	3.45 GB	Download
mmproj-step3.7-flash-f16.gguf	GGUF	F16	3.70 GB	Download

Model Details

Model ID	ashuaria/Step-3.7-Flash-GGUF-FineTune
Author	ashuaria
Pipeline	image-text-to-text
License	apache-2.0
Base model	stepfun-ai/Step-3.7-Flash
Last modified	2026-07-12T12:56:34.000Z

Model README

---

license: apache-2.0

base_model: stepfun-ai/Step-3.7-Flash

base_model_relation: quantized

pipeline_tag: image-text-to-text

library_name: gguf

tags:

- gguf

- llama.cpp

- quantized

- imatrix

- moe

- agent

- tool-calling

- reasoning

- vision

- multimodal

language:

- en

- zh

- ja

- ko

- ar

- hi

- de

- fr

- es

- ru

---

[ModelPage]: https://static.stepfun.com/blog/step-3.7-flash/

1. Introduction

GGUF quantizations of stepfun-ai/Step-3.7-Flash.

Step-3.7-Flash is a 198B-parameter sparse Mixture-of-Experts vision-language model from StepFun-ai, activating ~11B parameters per token for up to 400 t/s throughput. It pairs a 196B-parameter language backbone with a 1.8B-parameter vision encoder for native image understanding, supports a 256K context window, and offers three selectable reasoning levels (low / medium / high) to balance speed, cost, and depth. Built for agentic workloads — tool calling, multi-step reasoning, code, and math — with native multilingual coverage.

A separate mmproj projector ships alongside the language quants for multimodal inference. With 128 GB of unified memory (Mac Studio, DGX Spark, Ryzen AI Max+ 395, etc.), you can privately host Step-3.7-Flash: Q4 quants and below run at full 256K context with high precision.

2. Files

|---|---|---:|---|

| Step-3.7-flash-BF16.gguf | BF16 | 394 GB | Full-precision reference.|

| Step-3.7-flash-Q8_0.gguf | Q8_0 | 209 GB | Near-lossless. Does not use imatrix.|

| Step-3.7-flash-Q4_K_S.gguf | Q4_K_S | 112 GB | imatrix-calibrated. Balanced quality / size.|

| Step-3.7-flash-Q3_K_L.gguf | Q3_K_L | 103 GB | imatrix-calibrated. Aggressive size reduction. |

| Step-3.7-flash-Q3_K_M.gguf | Q3_K_M | 94 GB | imatrix-calibrated. Use when you need to fit on a single 64-96 GB device; expect modest quality loss at low bit-widths. |

| Step-3.7-flash-IQ3_XXS.gguf | IQ3_XXS | 76 GB | imatrix-calibrated. Recommended only when memory is the primary constraint; offers the smallest footprint among the provided quantizations. |

| mmproj-Step-3.7-flash-f16.gguf | F16 | 4 GB | Vision projector. Pair with any of the language quants above for image input. |

3. Quickstart

Build llama.cpp and run:

# 1. Clone and build
git clone https://github.com/stepfun-ai/llama.cpp.git
cd llama.cpp
git checkout -b step3.7 origin/step3.7
cmake -B build -DLLAMA_BUILD_TOOLS=ON -DLLAMA_BUILD_SERVER=ON
cmake --build build --config Release -j$(nproc)

# 2. Test performance (benchmark)
./build/bin/llama-batched-bench \
  -m Step-3.7-flash-Q4_K_S.gguf \
  -c 32768 -b 2048 -ub 2048 \
  -npp 0,2048,8192,16384,32768 -ntg 128 -npl 1

# 3. Text-only inference
./build/bin/llama-cli \
  -m Step-3.7-flash-Q4_K_S.gguf \
  -c 32768 -ngl 99 -fa on \
  -p "Write a Python function to compute the n-th Fibonacci number."

# 4. With vision (image + text)
./build/bin/llama-mtmd-cli \
  -m Step-3.7-flash-Q4_K_S.gguf \
  --mmproj mmproj-Step-3.7-flash-f16.gguf \
  -c 32768 -ngl 99 -fa on \
  --image path/to/image.jpg \
  -p "Describe this image."

# 5. OpenAI-compatible server (text + vision)
./build/bin/llama-server \
  -m Step-3.7-flash-Q4_K_S.gguf \
  --mmproj mmproj-Step-3.7-flash-f16.gguf \
  -c 32768 -ngl 99 -fa on \
  --host 0.0.0.0 --port 8080

For full CLI / server options, see the llama.cpp README.

4. Performance

Apple Mac Studio (M4 max, 128 GB unified memory)

Step-3.7-flash-Q4_K_S

./llama-batched-bench -m Step-3.7-flash-Q4_K_S.gguf -c 262150 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536,131072,262144 -ntg 128 -npl 1

| PP | TG | PL | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

|---:|---:|---:|-----:|-------:|---------:|-------:|---------:|----:|------:|

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 2.500 | 51.20 | 2.500 | 51.20 |

| 2048 | 128 | 1 | 2176 | 4.873 | 420.28 | 2.639 | 48.51 | 7.512 | 289.68 |

| 8192 | 128 | 1 | 8320 | 20.292 | 403.70 | 2.757 | 46.43 | 23.049 | 360.97 |

| 16384 | 128 | 1 | 16512 | 42.854 | 382.32 | 2.924 | 43.77 | 45.779 | 360.69 |

| 32768 | 128 | 1 | 32896 | 95.168 | 344.32 | 3.223 | 39.72 | 98.391 | 334.34 |

| 65536 | 128 | 1 | 65664 | 233.885 | 280.21 | 3.909 | 32.74 | 237.794 | 276.14 |

| 131072 | 128 | 1 | 131200 | 635.499 | 206.25 | 5.759 | 22.23 | 641.258 | 204.60 |

| 262144 | 128 | 1 | 262272 | 2362.488 | 110.96 | 13.188 | 9.71 | 2375.677 | 110.40 |

Step-3.7-flash-IQ4_XS

./llama-batched-bench -m Step-3.7-flash-IQ4_XS.gguf -c 262150 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536,131072,262144 -ntg 128 -npl 1

| PP | TG | PL | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

|---:|---:|---:|-----:|-------:|---------:|-------:|---------:|----:|------:|

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 2.582 | 49.58 | 2.582 | 49.58 |

| 2048 | 128 | 1 | 2176 | 4.835 | 423.56 | 2.679 | 47.78 | 7.514 | 289.60 |

| 8192 | 128 | 1 | 8320 | 19.954 | 410.55 | 2.803 | 45.66 | 22.757 | 365.60 |

| 16384 | 128 | 1 | 16512 | 42.142 | 388.78 | 2.957 | 43.29 | 45.098 | 366.13 |

| 32768 | 128 | 1 | 32896 | 93.489 | 350.50 | 3.288 | 38.93 | 96.777 | 339.91 |

| 65536 | 128 | 1 | 65664 | 227.088 | 288.59 | 3.945 | 32.44 | 231.033 | 284.22 |

| 131072 | 128 | 1 | 131200 | 635.047 | 206.40 | 5.791 | 22.10 | 640.838 | 204.73 |

| 262144 | 128 | 1 | 262272 | 2170.271 | 120.79 | 13.070 | 9.79 | 2183.342 | 120.12 |

Step-3.7-flash-Q3_K_L

./llama-batched-bench -m Step-3.7-flash-Q3_K_L.gguf -c 262272 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536,131072,262144 -ntg 128 -npl 1

| PP | TG | B | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

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

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 3.590 | 35.66 | 3.590 | 35.66 |

| 2048 | 128 | 1 | 2176 | 5.263 | 389.15 | 3.702 | 34.57 | 8.965 | 242.72 |

| 8192 | 128 | 1 | 8320 | 21.789 | 375.97 | 3.817 | 33.53 | 25.606 | 324.92 |

| 16384 | 128 | 1 | 16512 | 45.819 | 357.58 | 3.977 | 32.18 | 49.796 | 331.59 |

| 32768 | 128 | 1 | 32896 | 100.827 | 324.99 | 4.308 | 29.71 | 105.135 | 312.89 |

| 65536 | 128 | 1 | 65664 | 242.172 | 270.62 | 4.977 | 25.72 | 247.149 | 265.69 |

|131072 | 128 | 1 | 131200 | 659.645 | 198.70 | 6.764 | 18.92 | 666.409 | 196.88 |

|262144 | 128 | 1 | 262272 | 2200.370 | 119.14 | 14.008 | 9.14 | 2214.378 | 118.44 |

NVIDIA DGX Spark (GB10, 128 GB unified memory)

Step-3.7-flash-Q4_K_S

./llama-batched-bench -m Step-3.7-flash-Q4_K_S.gguf -c 131300 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536,131072 -ntg 128 -npl 1

| PP | TG | B | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

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

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 5.157 | 24.82 | 5.157 | 24.82 |

| 2048 | 128 | 1 | 2176 | 8.021 | 255.33 | 4.907 | 26.08 | 12.929 | 168.31 |

| 8192 | 128 | 1 | 8320 | 10.866 | 753.89 | 5.169 | 24.76 | 16.035 | 518.86 |

| 16384 | 128 | 1 | 16512 | 29.389 | 557.49 | 6.215 | 20.60 | 35.603 | 463.78 |

| 32768 | 128 | 1 | 32896 | 52.501 | 624.14 | 6.931 | 18.47 | 59.432 | 553.50 |

| 65536 | 128 | 1 | 65664 | 112.321 | 583.47 | 7.769 | 16.48 | 120.090 | 546.79 |

|131072 | 128 | 1 | 131200 | 281.479 | 465.66 | 9.834 | 13.02 | 291.313 | 450.37 |

Step-3.7-flash-IQ4_XS

./llama-batched-bench -m Step-3.7-flash-IQ4_XS.gguf -c 262272 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536,131072,262144 -ntg 128 -npl 1

| PP | TG | PL | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

|---:|---:|---:|-----:|-------:|---------:|-------:|---------:|----:|------:|

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 5.368 | 23.85 | 5.368 | 23.85 |

| 2048 | 128 | 1 | 2176 | 4.250 | 481.87 | 5.311 | 24.10 | 9.561 | 227.58 |

| 8192 | 128 | 1 | 8320 | 12.531 | 653.73 | 5.817 | 22.01 | 18.348 | 453.46 |

| 16384 | 128 | 1 | 16512 | 24.474 | 669.44 | 5.915 | 21.64 | 30.389 | 543.35 |

| 32768 | 128 | 1 | 32896 | 51.976 | 630.44 | 6.531 | 19.60 | 58.508 | 562.25 |

| 65536 | 128 | 1 | 65664 | 116.305 | 563.48 | 7.934 | 16.13 | 124.239 | 528.53 |

| 131072 | 128 | 1 | 131200 | 298.746 | 438.74 | 10.263 | 12.47 | 309.009 | 424.58 |

| 262144 | 128 | 1 | 262272 | 924.872 | 283.44 | 14.862 | 8.61 | 939.734 | 279.09 |

Step-3.7-flash-Q3_K_L

./llama-batched-bench -m Step-3.7-flash-Q3_K_L.gguf -c 262272 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536,131072,262144 -ntg 128 -npl 1

| PP | TG | PL | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

|---:|---:|---:|-----:|-------:|---------:|-------:|---------:|----:|------:|

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 5.947 | 21.52 | 5.947 | 21.52 |

| 2048 | 128 | 1 | 2176 | 4.145 | 494.08 | 5.623 | 22.76 | 9.768 | 222.77 |

| 8192 | 128 | 1 | 8320 | 14.889 | 550.20 | 5.799 | 22.07 | 20.688 | 402.17 |

| 16384 | 128 | 1 | 16512 | 29.374 | 557.78 | 6.140 | 20.85 | 35.513 | 464.95 |

| 32768 | 128 | 1 | 32896 | 54.957 | 596.25 | 6.744 | 18.98 | 61.702 | 533.15 |

| 65536 | 128 | 1 | 65664 | 129.827 | 504.79 | 8.347 | 15.33 | 138.174 | 475.23 |

| 131072 | 128 | 1 | 131200 | 315.402 | 415.57 | 10.780 | 11.87 | 326.182 | 402.23 |

| 262144 | 128 | 1 | 262272 | 910.215 | 288.00 | 15.568 | 8.22 | 925.783 | 283.30 |

AMD Ryzen AI Max+ 395 (Strix Halo, 128 GB unified memory)

Step-3.7-flash-Q4_K_S

llama-batched-bench.exe -m Step-3.7-flash-Q4_K_S.gguf -c 65664 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536 -ntg 128 -npl 1

| PP | TG | B | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

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

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 4.878 | 26.24 | 4.878 | 26.24 |

| 2048 | 128 | 1 | 2176 | 9.367 | 218.63 | 5.134 | 24.93 | 14.501 | 150.06 |

| 8192 | 128 | 1 | 8320 | 43.540 | 188.15 | 5.508 | 23.24 | 49.048 | 169.63 |

| 16384 | 128 | 1 | 16512 | 111.814 | 146.53 | 5.947 | 21.53 | 117.761 | 140.22 |

| 32768 | 128 | 1 | 32896 | 357.819 | 91.58 | 6.779 | 18.88 | 364.598 | 90.23 |

| 65536 | 128 | 1 | 65664 | 1342.501 | 48.82 | 8.495 | 15.07 | 1350.996 | 48.60 |

Step-3.7-flash-IQ4_XS

./llama-batched-bench -m Step-3.7-flash-IQ4_XS.gguf -c 65664 -b 2048 -ub 1024 -npp 0,2048,8192,16384,32768,65536 -ntg 128 -npl 1

| PP | TG | B | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

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

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 5.931 | 21.58 | 5.931 | 21.58 |

| 2048 | 128 | 1 | 2176 | 8.143 | 251.50 | 6.194 | 20.67 | 14.337 | 151.78 |

| 8192 | 128 | 1 | 8320 | 39.899 | 205.32 | 6.521 | 19.63 | 46.420 | 179.23 |

| 16384 | 128 | 1 | 16512 | 105.098 | 155.89 | 6.891 | 18.57 | 111.989 | 147.44 |

| 32768 | 128 | 1 | 32896 | 338.645 | 96.76 | 7.793 | 16.42 | 346.439 | 94.95 |

| 65536 | 128 | 1 | 65664 | 1310.820 | 50.00 | 9.489 | 13.49 | 1320.309 | 49.73 |

Step-3.7-flash-Q3_K_L

./llama-batched-bench -m Step-3.7-flash-Q3_K_L.gguf -c 262272 -b 2048 -ub 1024 -ctk q8_0 -ctv q8_0 -npp 0,2048,8192,16384,32768,65536,131072,262144 -ntg 128 -npl 1

| PP | TG | B | N_KV | T_PP s | S_PP t/s | T_TG s | S_TG t/s | T s | S t/s |

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

| 0 | 128 | 1 | 128 | 0.000 | 0.00 | 5.015 | 25.53 | 5.015 | 25.53 |

| 2048 | 128 | 1 | 2176 | 10.246 | 199.88 | 5.073 | 25.23 | 15.319 | 142.04 |

| 8192 | 128 | 1 | 8320 | 37.229 | 220.05 | 5.341 | 23.96 | 42.570 | 195.44 |

| 16384 | 128 | 1 | 16512 | 79.234 | 206.78 | 5.489 | 23.32 | 84.723 | 194.89 |

| 32768 | 128 | 1 | 32896 | 179.697 | 182.35 | 5.810 | 22.03 | 185.507 | 177.33 |

| 65536 | 128 | 1 | 65664 | 436.593 | 150.11 | 6.577 | 19.46 | 443.169 | 148.17 |

|131072 | 128 | 1 | 131200 | 1262.377 | 103.83 | 9.124 | 14.03 | 1271.501 | 103.19 |

|262144 | 128 | 1 | 262272 | 3487.921 | 75.16 | 11.391 | 11.24 | 3499.312 | 74.95 |

5. Acknowledgments

This release stands on the work of the following authors and communities:

bartowski — for calibration_datav5,

the community-standard imatrix calibration anchor used by countless GGUF releases.

Used for calibration purposes only; no license has been verified for this resource.

eaddario — for the imatrix-calibration

dataset (MIT), providing multilingual / code / math splits that form the backbone of this release's domain balance

NousResearch — for hermes-function-calling-v1

(Apache-2.0), used for agent / tool-call calibration coverage

ggml-org / llama.cpp — for the entire quantization and inference toolchain (MIT)

6. License

The GGUF quantization files in this repository are derivative works of

stepfun-ai/Step-3.7-Flash

and are released under the same Apache 2.0 license.

| Component | License |

|---|---|

| Base model weights (stepfun-ai/Step-3.7-Flash) | Apache-2.0 |

| Calibration dataset (eaddario/imatrix-calibration) | MIT |

| Calibration dataset (NousResearch/hermes-function-calling-v1) | Apache-2.0 |

| Quantization toolchain (llama.cpp) | MIT |

All calibration datasets retain their original licenses and are used strictly for quantization calibration purposes only.

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