Adapter Dataset:allenai/qasc En Finetuned Instruct Lora Model-index Musr Qwen2 Reasoning Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/MEscriva/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis
ECE PRYMMAL 0.5B FT V4 MUSR Mathis 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)
ECE PRYMMAL 0.5B FT V4 MUSR Mathis Parameters and Internals
| LLM Name | ECE PRYMMAL 0.5B FT V4 MUSR Mathis |
| Repository 🤗 | https://huggingface.co/MEscriva/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis |
| Model Size | 0.5b |
| Required VRAM | 1 GB |
| Updated | 2025-03-12 |
| Maintainer | matouLeLoup |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Adapter |
| Context Length | 131072 |
| Model Max Length | 32768 |
| Transformers Version | 4.46.1 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|gate_proj|k_proj|v_proj|q_proj|o_proj|down_proj |
| LoRA Alpha | 32 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to ECE PRYMMAL 0.5B FT V4 MUSR Mathis
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen Qwen1.5 0.5B 1719898525 | 0K / 0 GB | 5 | 0 |
| Qwen Qwen1.5 0.5B 1719861046 | 0K / 0 GB | 7 | 0 |
| Qwen Qwen1.5 0.5B 1719858972 | 0K / 0 GB | 6 | 0 |
| Qwen Qwen1.5 0.5B 1719834880 | 0K / 0 GB | 6 | 0 |
| Qwen Qwen1.5 0.5B 1719706105 | 0K / 0 GB | 6 | 0 |
| Qwen Qwen1.5 0.5B 1719708353 | 0K / 0 GB | 6 | 0 |
| Qwen Qwen1.5 0.5B 1719705745 | 0K / 0 GB | 6 | 0 |
| Qwen Qwen1.5 0.5B 1719708694 | 0K / 0 GB | 6 | 0 |
| Qwen Qwen1.5 0.5B 1719692002 | 0K / 0 GB | 6 | 0 |
| Qwen Qwen1.5 0.5B 1719681365 | 0K / 0 GB | 6 | 0 |
Rank the ECE PRYMMAL 0.5B FT V4 MUSR Mathis Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227