Instructions to use notSnix/Step-3.7-Flash-MTP-Draft-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use notSnix/Step-3.7-Flash-MTP-Draft-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
Use pre-built binary
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible server with a web UI: ./llama-server -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama-server -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
Use Docker
docker model run hf.co/notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use notSnix/Step-3.7-Flash-MTP-Draft-GGUF with Ollama:
ollama run hf.co/notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
- Unsloth Studio
How to use notSnix/Step-3.7-Flash-MTP-Draft-GGUF with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for notSnix/Step-3.7-Flash-MTP-Draft-GGUF to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for notSnix/Step-3.7-Flash-MTP-Draft-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for notSnix/Step-3.7-Flash-MTP-Draft-GGUF to start chatting
- Docker Model Runner
How to use notSnix/Step-3.7-Flash-MTP-Draft-GGUF with Docker Model Runner:
docker model run hf.co/notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
- Lemonade
How to use notSnix/Step-3.7-Flash-MTP-Draft-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull notSnix/Step-3.7-Flash-MTP-Draft-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Step-3.7-Flash-MTP-Draft-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Add Step 3.7 Flash MTP draft GGUFs
Browse files- .gitattributes +3 -0
- README.md +87 -0
- SHA256SUMS +3 -0
- Step-3.7-Flash-MTP-BF16.gguf +3 -0
- Step-3.7-Flash-MTP-Q4_K_M.gguf +3 -0
- Step-3.7-Flash-MTP-Q8_0.gguf +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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Step-3.7-Flash-MTP-BF16.gguf filter=lfs diff=lfs merge=lfs -text
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| 37 |
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Step-3.7-Flash-MTP-Q4_K_M.gguf filter=lfs diff=lfs merge=lfs -text
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| 38 |
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Step-3.7-Flash-MTP-Q8_0.gguf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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| 2 |
+
license: apache-2.0
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base_model:
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- stepfun-ai/Step-3.7-Flash
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library_name: gguf
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language:
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- en
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tags:
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- gguf
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- llama.cpp
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- mtp
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- draft-model
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- speculative-decoding
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- q4_k_m
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- q8_0
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- bf16
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- stepfun
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---
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# Step 3.7 Flash MTP Draft GGUFs
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These are companion MTP draft GGUFs for speculative decoding. They are not standalone chat models.
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Use them with the full model repo:
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[notSnix/Step-3.7-Flash-Q4_K_M-GGUF](https://huggingface.co/notSnix/Step-3.7-Flash-Q4_K_M-GGUF)
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The draft GGUF is passed with `--model-draft`; the full model is passed with `--model`.
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## Files
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| File | Size | SHA256 | Purpose |
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| 33 |
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|---|---:|---|---|
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| `Step-3.7-Flash-MTP-Q8_0.gguf` | 3.5 GB | `017de8990140621b5b4af431448f20873fbf0b052f6c50d2afac15f45802a98d` | Recommended MTP draft |
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| 35 |
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| `Step-3.7-Flash-MTP-Q4_K_M.gguf` | 2.0 GB | `44118cfe64f45b38127ad6fb626e16bd94ee5a827cb34aa83d9e6df3450aebaf` | Smaller MTP draft |
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| `Step-3.7-Flash-MTP-BF16.gguf` | 6.5 GB | `fd811c81d14c786d314d8006655bba61971059abcfdfb6109ce83fd768f8b289` | Experimental BF16 MTP draft |
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## Runtime
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Current llama.cpp `main` supports Step MTP-tail draft loading natively. This was smoke-tested with clean llama.cpp commit `d545a2a993849fcf3b752d85ae256fc9d6a9de79`.
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```bash
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git clone https://github.com/ggml-org/llama.cpp
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cd llama.cpp
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cmake -B build-cuda -DGGML_CUDA=ON
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cmake --build build-cuda --config Release -j
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```
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## Usage
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```bash
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llama-server \
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--model Step-3.7-Flash-Q4_K_M.gguf \
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--model-draft Step-3.7-Flash-MTP-Q8_0.gguf \
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--host 0.0.0.0 \
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--port 8000 \
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--ctx-size 262144 \
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--n-gpu-layers all \
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--split-mode layer \
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--parallel 1 \
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--reasoning on \
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--reasoning-format deepseek \
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--spec-type draft-mtp \
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--spec-draft-n-max 2 \
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--spec-draft-p-min 0.60
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```
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## Which Draft Should I Use?
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Use `Step-3.7-Flash-MTP-Q8_0.gguf` first. It was the best local default in testing.
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Use `Step-3.7-Flash-MTP-Q4_K_M.gguf` if you want the smaller draft file.
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Use `Step-3.7-Flash-MTP-BF16.gguf` for experimentation.
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## Checksums
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```bash
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sha256sum -c SHA256SUMS
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```
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| 82 |
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## Notes
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| 83 |
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- These files intentionally keep the upstream Step MTP tail-layer numbering (`blk.45`, `blk.46`, `blk.47`).
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| 85 |
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- They are companion speculative-decoding draft GGUFs, not full-model quants.
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- The full Q4_K_M model is hosted separately so Hugging Face's GGUF widget does not display draft files as tiny full-model quantizations.
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| 87 |
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- This is a community GGUF conversion of the upstream Apache-2.0 model, not an official StepFun release.
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SHA256SUMS
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017de8990140621b5b4af431448f20873fbf0b052f6c50d2afac15f45802a98d Step-3.7-Flash-MTP-Q8_0.gguf
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| 2 |
+
44118cfe64f45b38127ad6fb626e16bd94ee5a827cb34aa83d9e6df3450aebaf Step-3.7-Flash-MTP-Q4_K_M.gguf
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| 3 |
+
fd811c81d14c786d314d8006655bba61971059abcfdfb6109ce83fd768f8b289 Step-3.7-Flash-MTP-BF16.gguf
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Step-3.7-Flash-MTP-BF16.gguf
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:fd811c81d14c786d314d8006655bba61971059abcfdfb6109ce83fd768f8b289
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| 3 |
+
size 6973539520
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Step-3.7-Flash-MTP-Q4_K_M.gguf
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:44118cfe64f45b38127ad6fb626e16bd94ee5a827cb34aa83d9e6df3450aebaf
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| 3 |
+
size 2138133696
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Step-3.7-Flash-MTP-Q8_0.gguf
ADDED
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@@ -0,0 +1,3 @@
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+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:017de8990140621b5b4af431448f20873fbf0b052f6c50d2afac15f45802a98d
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| 3 |
+
size 3707266240
|