Instructions to use UnbindAI/Unbind-Flash-V1 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 UnbindAI/Unbind-Flash-V1 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 UnbindAI/Unbind-Flash-V1:Q2_K_S # Run inference directly in the terminal: llama cli -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S # Run inference directly in the terminal: llama cli -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S # Run inference directly in the terminal: ./build/bin/llama cli -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Use Docker
docker model run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Llama new
- LM Studio
- Jan
- vLLM
How to use UnbindAI/Unbind-Flash-V1 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "UnbindAI/Unbind-Flash-V1" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "UnbindAI/Unbind-Flash-V1", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Ollama
How to use UnbindAI/Unbind-Flash-V1 with Ollama:
ollama run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Unsloth Desktop
- Pi
How to use UnbindAI/Unbind-Flash-V1 with Pi:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Configure the model in Pi
# Install Pi: npm install -g @earendil-works/pi-coding-agent # Add to ~/.pi/agent/models.json: { "providers": { "llama-cpp": { "baseUrl": "http://localhost:8080/v1", "api": "openai-completions", "apiKey": "none", "models": [ { "id": "UnbindAI/Unbind-Flash-V1:Q2_K_S" } ] } } }Run Pi
# Start Pi in your project directory: pi
- Docker Model Runner
How to use UnbindAI/Unbind-Flash-V1 with Docker Model Runner:
docker model run hf.co/UnbindAI/Unbind-Flash-V1:Q2_K_S
- Lemonade
How to use UnbindAI/Unbind-Flash-V1 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull UnbindAI/Unbind-Flash-V1:Q2_K_S
Run and chat with the model
lemonade run user.Unbind-Flash-V1-Q2_K_S
List all available models
lemonade list
- Hermes Agent
How to use UnbindAI/Unbind-Flash-V1 with Hermes Agent:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Configure Hermes
# Install Hermes: curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash hermes setup # Point Hermes at the local server: hermes config set model.provider custom hermes config set model.base_url http://127.0.0.1:8080/v1 hermes config set model.default UnbindAI/Unbind-Flash-V1:Q2_K_S
Run Hermes
hermes
- Atomic Chat
- OpenClaw
How to use UnbindAI/Unbind-Flash-V1 with OpenClaw:
Start the llama.cpp server
# Install llama.cpp: brew install llama.cpp # Start a local OpenAI-compatible server: llama serve -hf UnbindAI/Unbind-Flash-V1:Q2_K_S
Configure OpenClaw
# Install OpenClaw: npm install -g openclaw@latest # Register the local server and set it as the default model: openclaw onboard --non-interactive --mode local \ --auth-choice custom-api-key \ --custom-base-url http://127.0.0.1:8080/v1 \ --custom-model-id "UnbindAI/Unbind-Flash-V1:Q2_K_S" \ --custom-provider-id llama-cpp \ --custom-compatibility openai \ --custom-text-input \ --accept-risk \ --skip-health
Run OpenClaw
openclaw agent --local --agent main --message "Hello from Hugging Face"
Add eight branded benchmark comparisons and animated overview
Browse files- .gitattributes +10 -0
- BENCHMARKS.md +65 -0
- README.md +8 -0
- assets/benchmarks/01-deepswe.png +3 -0
- assets/benchmarks/01-deepswe.svg +1 -0
- assets/benchmarks/02-terminal.png +3 -0
- assets/benchmarks/02-terminal.svg +1 -0
- assets/benchmarks/03-hle.png +3 -0
- assets/benchmarks/03-hle.svg +1 -0
- assets/benchmarks/04-program.png +3 -0
- assets/benchmarks/04-program.svg +1 -0
- assets/benchmarks/05-nl2repo.png +3 -0
- assets/benchmarks/05-nl2repo.svg +1 -0
- assets/benchmarks/06-automation.png +3 -0
- assets/benchmarks/06-automation.svg +1 -0
- assets/benchmarks/07-agents.png +3 -0
- assets/benchmarks/07-agents.svg +1 -0
- assets/benchmarks/08-apex.png +3 -0
- assets/benchmarks/08-apex.svg +1 -0
- assets/benchmarks/benchmark-overview.gif +3 -0
- assets/benchmarks/comparison-sheet.png +3 -0
- assets/benchmarks/source-data.csv +48 -0
- assets/benchmarks/source-data.json +126 -0
.gitattributes
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assets/unbind-flash-v1.png filter=lfs diff=lfs merge=lfs -text
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assets/unbind-flash-v1.png filter=lfs diff=lfs merge=lfs -text
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BENCHMARKS.md
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# Unbind benchmark comparison gallery
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Unbind-branded comparisons of DeepSeek-V4.1-Flash-1017 and the other models in its publisher’s table. Scores were reported by DeepSeek, not measured by Unbind. They do not evaluate Unbind’s abliterated hosted checkpoint or the older public GGUF.
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Each chart compares models within one benchmark on a 0–100 axis. Evaluation setups differ across benchmarks; do not average these scores into an overall rating.
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[Source table and evaluation notes](https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017).
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## Animated overview
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## DeepSWE v1.1
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Mini-SWE-V2 harness. Publisher-reported benchmark scores.
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## Terminal-Bench 4.0
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Claude Code harness. Publisher-reported benchmark scores.
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## HLE without tools
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Full HLE figures only. GLM-5.3 omitted: the source gives a text-only subset score.
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## ProgramBench
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Publisher-reported benchmark scores. Additional per-row settings are not specified.
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## NL2Repo-Bench
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Publisher-reported benchmark scores. Additional per-row settings are not specified.
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## Automation-Bench v1.0.6
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Publisher-reported benchmark scores. Additional per-row settings are not specified.
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## Agents’ Last Exam
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Publisher-reported benchmark scores. Additional per-row settings are not specified.
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## Apex Bench v1.1
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Publisher-reported benchmark scores. Additional per-row settings are not specified.
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## Data and reuse
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[CSV](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/benchmarks/source-data.csv) · [JSON](https://huggingface.co/UnbindAI/Unbind-Flash-V1/resolve/main/assets/benchmarks/source-data.json). The accompanying SVG files provide editable vector exports.
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All plotted values and model names reproduce the source table. GLM-5.3 is omitted from HLE because only its text-only subset score is supplied. These are reported benchmark comparisons, not newly run evaluations.
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README.md
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[Read the source evaluation and method](https://huggingface.co/dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8#internal-benchmarks-greedy-t0-this-repo).
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## Download details
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Download both GGUF shards from **Files and versions**. Runtime memory requirements exceed the file size and depend on your software, hardware and context length. The source notes that this Q2 quantization does not use imatrix calibration.
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[Read the source evaluation and method](https://huggingface.co/dealignai/DeepSeek-V4.1-Flash-1017-UNCENSORED-FP8#internal-benchmarks-greedy-t0-this-repo).
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## Base-model comparison gallery
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Eight Unbind-branded comparisons reproduce the original V4.1-Flash-1017 publisher table, including competitor results. These evaluate the named original checkpoints, not Unbind or the abliterated hosted edition.
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[Browse all eight charts, methodology notes and source data](https://huggingface.co/UnbindAI/Unbind-Flash-V1/blob/main/BENCHMARKS.md).
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## Download details
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Download both GGUF shards from **Files and versions**. Runtime memory requirements exceed the file size and depend on your software, hardware and context length. The source notes that this Q2 quantization does not use imatrix calibration.
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assets/benchmarks/01-deepswe.png
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| 1 |
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Benchmark,Model,Reported score,Note,Source
|
| 2 |
+
DeepSWE v1.1,DeepSeek V4.1 Flash 1017,77.0,Mini-SWE-V2 harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 3 |
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DeepSWE v1.1,DeepSeek V4.1 Flash,74.2,Mini-SWE-V2 harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 4 |
+
DeepSWE v1.1,K3,67.5,Mini-SWE-V2 harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 5 |
+
DeepSWE v1.1,GLM-5.3,66.9,Mini-SWE-V2 harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 6 |
+
DeepSWE v1.1,GPT-5.6 Sol,73.0,Mini-SWE-V2 harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 7 |
+
DeepSWE v1.1,Opus 5,74.0,Mini-SWE-V2 harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 8 |
+
Terminal-Bench 4.0,DeepSeek V4.1 Flash 1017,42.3,Claude Code harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 9 |
+
Terminal-Bench 4.0,DeepSeek V4.1 Flash,31.2,Claude Code harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 10 |
+
Terminal-Bench 4.0,K3,12.6,Claude Code harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 11 |
+
Terminal-Bench 4.0,GLM-5.3,37.9,Claude Code harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 12 |
+
Terminal-Bench 4.0,GPT-5.6 Sol,39.9,Claude Code harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 13 |
+
Terminal-Bench 4.0,Opus 5,51.8,Claude Code harness. Publisher-reported benchmark scores.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 14 |
+
HLE without tools,DeepSeek V4.1 Flash 1017,42.6,Full HLE figures only. GLM-5.3 omitted: the source gives a text-only subset score.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 15 |
+
HLE without tools,DeepSeek V4.1 Flash,36.8,Full HLE figures only. GLM-5.3 omitted: the source gives a text-only subset score.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 16 |
+
HLE without tools,K3,43.5,Full HLE figures only. GLM-5.3 omitted: the source gives a text-only subset score.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 17 |
+
HLE without tools,GPT-5.6 Sol,44.5,Full HLE figures only. GLM-5.3 omitted: the source gives a text-only subset score.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 18 |
+
HLE without tools,Opus 5,56.3,Full HLE figures only. GLM-5.3 omitted: the source gives a text-only subset score.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 19 |
+
ProgramBench,DeepSeek V4.1 Flash 1017,29.1,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 20 |
+
ProgramBench,DeepSeek V4.1 Flash,20.3,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 21 |
+
ProgramBench,K3,17.5,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 22 |
+
ProgramBench,GLM-5.3,19.0,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 23 |
+
ProgramBench,GPT-5.6 Sol,23.0,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 24 |
+
ProgramBench,Opus 5,37.0,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 25 |
+
NL2Repo-Bench,DeepSeek V4.1 Flash 1017,68.2,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 26 |
+
NL2Repo-Bench,DeepSeek V4.1 Flash,65.4,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 27 |
+
NL2Repo-Bench,K3,58.0,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 28 |
+
NL2Repo-Bench,GLM-5.3,58.0,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 29 |
+
NL2Repo-Bench,GPT-5.6 Sol,56.8,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 30 |
+
NL2Repo-Bench,Opus 5,75.3,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 31 |
+
Automation-Bench v1.0.6,DeepSeek V4.1 Flash 1017,60.5,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 32 |
+
Automation-Bench v1.0.6,DeepSeek V4.1 Flash,54.8,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 33 |
+
Automation-Bench v1.0.6,K3,46.7,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 34 |
+
Automation-Bench v1.0.6,GLM-5.3,48.8,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 35 |
+
Automation-Bench v1.0.6,GPT-5.6 Sol,45.8,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 36 |
+
Automation-Bench v1.0.6,Opus 5,50.3,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 37 |
+
Agents’ Last Exam,DeepSeek V4.1 Flash 1017,35.4,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 38 |
+
Agents’ Last Exam,DeepSeek V4.1 Flash,31.8,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 39 |
+
Agents’ Last Exam,K3,27.6,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 40 |
+
Agents’ Last Exam,GLM-5.3,28.5,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 41 |
+
Agents’ Last Exam,GPT-5.6 Sol,26.7,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 42 |
+
Agents’ Last Exam,Opus 5,28.6,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 43 |
+
Apex Bench v1.1,DeepSeek V4.1 Flash 1017,72.1,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 44 |
+
Apex Bench v1.1,DeepSeek V4.1 Flash,64.6,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 45 |
+
Apex Bench v1.1,K3,47.8,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 46 |
+
Apex Bench v1.1,GLM-5.3,56.6,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 47 |
+
Apex Bench v1.1,GPT-5.6 Sol,54.3,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
| 48 |
+
Apex Bench v1.1,Opus 5,65.8,Publisher-reported benchmark scores. Additional per-row settings are not specified.,https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md
|
assets/benchmarks/source-data.json
ADDED
|
@@ -0,0 +1,126 @@
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|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"source": "https://huggingface.co/deepseek-ai/DeepSeek-V4.1-Flash-1017/raw/main/README.md",
|
| 3 |
+
"model_names": [
|
| 4 |
+
"DeepSeek V4.1 Flash 1017",
|
| 5 |
+
"DeepSeek V4.1 Flash",
|
| 6 |
+
"K3",
|
| 7 |
+
"GLM-5.3",
|
| 8 |
+
"GPT-5.6 Sol",
|
| 9 |
+
"Opus 5"
|
| 10 |
+
],
|
| 11 |
+
"highlight_index": 0,
|
| 12 |
+
"series": [
|
| 13 |
+
{
|
| 14 |
+
"id": "01-deepswe",
|
| 15 |
+
"title": "Software engineering",
|
| 16 |
+
"benchmark": "DeepSWE v1.1",
|
| 17 |
+
"values": [
|
| 18 |
+
77.0,
|
| 19 |
+
74.2,
|
| 20 |
+
67.5,
|
| 21 |
+
66.9,
|
| 22 |
+
73.0,
|
| 23 |
+
74.0
|
| 24 |
+
],
|
| 25 |
+
"note": "Mini-SWE-V2 harness. Publisher-reported benchmark scores."
|
| 26 |
+
},
|
| 27 |
+
{
|
| 28 |
+
"id": "02-terminal",
|
| 29 |
+
"title": "Terminal tasks",
|
| 30 |
+
"benchmark": "Terminal-Bench 4.0",
|
| 31 |
+
"values": [
|
| 32 |
+
42.3,
|
| 33 |
+
31.2,
|
| 34 |
+
12.6,
|
| 35 |
+
37.9,
|
| 36 |
+
39.9,
|
| 37 |
+
51.8
|
| 38 |
+
],
|
| 39 |
+
"note": "Claude Code harness. Publisher-reported benchmark scores."
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"id": "03-hle",
|
| 43 |
+
"title": "Reasoning without tools",
|
| 44 |
+
"benchmark": "HLE without tools",
|
| 45 |
+
"values": [
|
| 46 |
+
42.6,
|
| 47 |
+
36.8,
|
| 48 |
+
43.5,
|
| 49 |
+
null,
|
| 50 |
+
44.5,
|
| 51 |
+
56.3
|
| 52 |
+
],
|
| 53 |
+
"note": "Full HLE figures only. GLM-5.3 omitted: the source gives a text-only subset score."
|
| 54 |
+
},
|
| 55 |
+
{
|
| 56 |
+
"id": "04-program",
|
| 57 |
+
"title": "Programming tasks",
|
| 58 |
+
"benchmark": "ProgramBench",
|
| 59 |
+
"values": [
|
| 60 |
+
29.1,
|
| 61 |
+
20.3,
|
| 62 |
+
17.5,
|
| 63 |
+
19.0,
|
| 64 |
+
23.0,
|
| 65 |
+
37.0
|
| 66 |
+
],
|
| 67 |
+
"note": "Publisher-reported benchmark scores. Additional per-row settings are not specified."
|
| 68 |
+
},
|
| 69 |
+
{
|
| 70 |
+
"id": "05-nl2repo",
|
| 71 |
+
"title": "From instructions to repositories",
|
| 72 |
+
"benchmark": "NL2Repo-Bench",
|
| 73 |
+
"values": [
|
| 74 |
+
68.2,
|
| 75 |
+
65.4,
|
| 76 |
+
58.0,
|
| 77 |
+
58.0,
|
| 78 |
+
56.8,
|
| 79 |
+
75.3
|
| 80 |
+
],
|
| 81 |
+
"note": "Publisher-reported benchmark scores. Additional per-row settings are not specified."
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"id": "06-automation",
|
| 85 |
+
"title": "Automation tasks",
|
| 86 |
+
"benchmark": "Automation-Bench v1.0.6",
|
| 87 |
+
"values": [
|
| 88 |
+
60.5,
|
| 89 |
+
54.8,
|
| 90 |
+
46.7,
|
| 91 |
+
48.8,
|
| 92 |
+
45.8,
|
| 93 |
+
50.3
|
| 94 |
+
],
|
| 95 |
+
"note": "Publisher-reported benchmark scores. Additional per-row settings are not specified."
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"id": "07-agents",
|
| 99 |
+
"title": "Agent evaluation",
|
| 100 |
+
"benchmark": "Agents’ Last Exam",
|
| 101 |
+
"values": [
|
| 102 |
+
35.4,
|
| 103 |
+
31.8,
|
| 104 |
+
27.6,
|
| 105 |
+
28.5,
|
| 106 |
+
26.7,
|
| 107 |
+
28.6
|
| 108 |
+
],
|
| 109 |
+
"note": "Publisher-reported benchmark scores. Additional per-row settings are not specified."
|
| 110 |
+
},
|
| 111 |
+
{
|
| 112 |
+
"id": "08-apex",
|
| 113 |
+
"title": "Apex benchmark",
|
| 114 |
+
"benchmark": "Apex Bench v1.1",
|
| 115 |
+
"values": [
|
| 116 |
+
72.1,
|
| 117 |
+
64.6,
|
| 118 |
+
47.8,
|
| 119 |
+
56.6,
|
| 120 |
+
54.3,
|
| 121 |
+
65.8
|
| 122 |
+
],
|
| 123 |
+
"note": "Publisher-reported benchmark scores. Additional per-row settings are not specified."
|
| 124 |
+
}
|
| 125 |
+
]
|
| 126 |
+
}
|