Merged Model Arvindanand/deepseek-wizard-33... Autotrain compatible Base model:arvindanand/deepsee... Base model:codefuse-ai/codefus... Codefuse-ai/codefuse-deepseek-... Conversational Endpoints compatible Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/arvindanand/ValidateAI-33B-slerp
ValidateAI 33B Slerp Benchmarks
ARC: 31.14 vs 96.7 (so35)-67.8%
HellaSwag: 36.83 vs 95.3 (gpt4)-61.4%
MMLU: 40.05 vs 88.3 (so35)-54.6%
TruthfulQA: 45.66 vs 59 (gpt4)-22.6%
WinoGrande: 54.93 vs 87.5 (gpt4)-37.2%
LLME Score: 0.18739
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
ValidateAI 33B Slerp Parameters and Internals
| LLM Name | ValidateAI 33B Slerp |
| Repository 🤗 | https://huggingface.co/arvindanand/ValidateAI-33B-slerp |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 33b |
| Required VRAM | 35.4 GB |
| Updated | 2025-09-23 |
| Maintainer | arvindanand |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 16384 |
| Model Max Length | 16384 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <｜end▁of▁sentence｜> |
| Vocabulary Size | 32256 |
| Torch Data Type | bfloat16 |
Best Alternatives to ValidateAI 33B Slerp
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...angled Llama 33M 32K Base V0.1 | 32K / 0.1 GB | 22 | 1 |
| ReflectionCoder DS 33B | 16K / 67 GB | 9742 | 4 |
| Deepseek Wizard 33B Slerp | 16K / 35.3 GB | 6 | 0 |
| Deepseek Coder 33B Instruct | 16K / 66.5 GB | 6956 | 541 |
| WhiteRabbitNeo 33B V1 | 16K / 67 GB | 1729 | 87 |
| Chronos Divergence 33B | 16K / 65 GB | 5 | 30 |
| ...dy Deepseekcoder 33B V16.1 32K | 16K / 67.1 GB | 1893 | 0 |
| ValidateAI 3 33B Ties | 16K / 66.5 GB | 7 | 0 |
| ValidateAI 2 33B AT | 16K / 66.5 GB | 5 | 0 |
| Everyone Coder 33B Base | 16K / 66.5 GB | 6 | 20 |
Note: green Score (e.g. "73.2") means that the model is better than arvindanand/ValidateAI-33B-slerp .
Rank the ValidateAI 33B Slerp Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124