Arcee-Blitz (24B)
is a new Mistral-based 24B model distilled from DeepSeek, designed to be both
fast and efficient
. We view it as a practical “workhorse” model that can tackle a range of tasks without the overhead of larger architectures.
Arcee-Blitz shows large improvements to performance on MMLU-Pro versus the original Mistral-Small-3, reflecting a dramatic increase in world knowledge.
Data contamination checking
We carefully examined our training data and pipeline to avoid contamination. While we’re confident in the validity of these gains, we remain open to further community validation and testing (one of the key reasons we release these models as open-source).
Benchmark Comparison
Benchmark
mistral‑small‑3
arcee‑blitz
MixEval
81.6%
85.1%
GPQADiamond
42.4%
43.1%
BigCodeBench Complete
44.4%
45.5%
BigCodeBench Instruct
34.7%
35.9%
BigCodeBench Complete-hard
16.2%
19.6%
BigCodeBench Instruct-hard
15.5%
15.5%
IFEval
77.44
80.60
BBH
64.46
65.00
GPQA
33.90
36.70
MMLU Pro
44.70
60.20
MuSR
40.90
50.00
Math Level 5
12.00
38.60
Limitations
Context Length:
32k Tokens (may vary depending on the final tokenizer settings and system resources).
Knowledge Cut-off:
Training data may not reflect the latest events or developments beyond June 2024.
Ethical Considerations
Content Generation Risks:
Like any language model, Arcee-Blitz can generate potentially harmful or biased content if prompted in certain ways.
License
Arcee-Blitz (24B)
is released under the
Apache-2.0 License
. You are free to use, modify, and distribute this model in both commercial and non-commercial applications, subject to the terms and conditions of the license.
If you have questions or would like to share your experiences using Arcee-Blitz (24B), please connect with us on social media. We’re excited to see what you build—and how this model helps you innovate!
Runs of arcee-ai Arcee-Blitz-GGUF on huggingface.co
130
Total runs
10
24-hour runs
8
3-day runs
42
7-day runs
26
30-day runs
More Information About Arcee-Blitz-GGUF huggingface.co Model
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