4bit Autotrain compatible Conversational En Endpoints compatible Grpo Instruct Quantized Qwen2 Region:us Safetensors Sharded Tensorflow Trl Unsloth
Model Card on HF 🤗: https://huggingface.co/konvolution/predictagrid-minimal-rl
Predictagrid Minimal Rl 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)
Predictagrid Minimal Rl Parameters and Internals
| LLM Name | Predictagrid Minimal Rl |
| Repository 🤗 | https://huggingface.co/konvolution/predictagrid-minimal-rl |
| Base Model(s) | |
| Model Size | 3b |
| Required VRAM | 6.2 GB |
| Updated | 2025-07-15 |
| Maintainer | konvolution |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en |
| Quantization Type | 4bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.48.3 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|vision_pad|> |
| Vocabulary Size | 151936 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Predictagrid Minimal Rl
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...5 3B Instruct Unsloth Bnb 4bit | 32K / 2.4 GB | 83812 | 7 |
| TethysAI Base Reasoning | 32K / 6.2 GB | 55 | 0 |
| Kyro N1 3B | 32K / 6.2 GB | 12 | 12 |
| QwQ LCoT 3B Instruct | 32K / 6.2 GB | 159 | 5 |
| Athena 1 3B | 32K / 6.2 GB | 13 | 1 |
| Qwen2.5 3B Reasoner | 32K / 6.2 GB | 7 | 0 |
| Test StealthThinker | 32K / 6.2 GB | 8 | 0 |
| ...2.5 Coder 3B Instruct Bnb 4bit | 32K / 2 GB | 4471 | 4 |
| Qwen2.5 3B Instruct Chat Sft | 32K / 6.2 GB | 6 | 0 |
| Model 16bit | 32K / 6.2 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than konvolution/predictagrid-minimal-rl .
Rank the Predictagrid Minimal Rl Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124