Model Card on HF 🤗: https://huggingface.co/AngelRaychev/value_iteration_0
Value Iteration 0 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)
Value Iteration 0 Parameters and Internals
| LLM Name | Value Iteration 0 |
| Repository 🤗 | https://huggingface.co/AngelRaychev/value_iteration_0 |
| Model Size | 135m |
| Required VRAM | 0.5 GB |
| Updated | 2025-04-28 |
| Maintainer | AngelRaychev |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.32.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | <|im_end|> |
| Vocabulary Size | 49152 |
| Torch Data Type | float32 |
Best Alternatives to Value Iteration 0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| SmolLM2 135M Instruct | 8K / 0.3 GB | 176165 | 181 |
| SmolLM2 135M Instruct Ita | 8K / 0.1 GB | 20 | 0 |
| ...wre324 R1 SmolLM2 135M Distill | 8K / 0.5 GB | 7 | 0 |
| ...molLM2 135M Instruct Reasoning | 8K / 0.3 GB | 7 | 0 |
| SmolLM2 135M Grpo Gsm8k | 8K / 0.5 GB | 12 | 5 |
| SmolLM2 135M Instruct | 8K / 0.3 GB | 1196 | 2 |
| ...rtis SmolLM2 135M Instruct DPO | 8K / 0.5 GB | 7 | 0 |
| Kurtis SmolLM2 135M Instruct | 8K / 0.5 GB | 6 | 0 |
| Reasoning SmolLM2 135M | 8K / 0.5 GB | 96 | 5 |
| Jaja Small V4 | 8K / 0.5 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than AngelRaychev/value_iteration_0 .
Rank the Value Iteration 0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227