Model Card on HF 🤗: https://huggingface.co/HuggingFaceFW/ablation-model-redpajama2
Ablation Model Redpajama2 Benchmarks
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)
Ablation Model Redpajama2 Parameters and Internals
| LLM Name | Ablation Model Redpajama2 |
| Repository 🤗 | https://huggingface.co/HuggingFaceFW/ablation-model-redpajama2 |
| Model Size | 1.7b |
| Required VRAM | 3.4 GB |
| Updated | 2025-02-22 |
| Maintainer | HuggingFaceFW |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.38.2 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 50272 |
| Torch Data Type | bfloat16 |
Best Alternatives to Ablation Model Redpajama2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 1.7B Instruct | 8K / 3.4 GB | 380890 | 549 |
| SmolLM2 1.7B | 8K / 3.4 GB | 87157 | 106 |
| Superthoughts Lite V1 | 8K / 3.4 GB | 1065 | 2 |
| SmolTulu 1.7B Reinforced | 8K / 3.4 GB | 242 | 5 |
| ...ghts Lite 1.8B Experimental O1 | 8K / 3.6 GB | 240 | 1 |
| SmolLM2 1.7B Instruct | 8K / 3.4 GB | 8549 | 4 |
| SmolLM2 1.7B | 8K / 3.4 GB | 7185 | 4 |
| SmolLM2 1.7 Persona | 8K / 3.5 GB | 8 | 0 |
| NuExtract 1.5 Smol | 8K / 3.4 GB | 237 | 54 |
| ...RM 1 Smollm2 1.7B Lcot PyTorch | 8K / 3.4 GB | 75 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than HuggingFaceFW/ablation-model-redpajama2 .
Rank the Ablation Model Redpajama2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227