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 | 2025-01-19 |
| Maintainer | matouLeLoup |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.46.1 |
| Is Biased | none |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151936 |
| PEFT Type | LORA |
| 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
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Reader Lm 0.5B | 250K / 1 GB | 546 | 136 |
| Qwen2 0.5B | 128K / 1 GB | 135935 | 123 |
| ...PRYMMAL 0.5B FT V4 MUSR Mathis | 128K / 1 GB | 62 | 1 |
| ...0.5B FT EnhancedMUSREnsembleV3 | 128K / 1 GB | 32 | 1 |
| ....5B FT V4 MUSR ENSEMBLE Mathis | 128K / 2 GB | 30 | 1 |
| ...0.5B FT MUSR ENSEMBLE V2Mathis | 128K / 1 GB | 25 | 0 |
| Qwen2 0.5B | 128K / 1 GB | 5411 | 2 |
| ECE PRYMMAL 0.5B FT V3 MUSR | 128K / 2 GB | 10 | 0 |
| ECE PRYMMAL 0.5B FT V4 MUSR | 128K / 2 GB | 12 | 0 |
| ...0.5B FT EnhancedMUSREnsembleV3 | 128K / 1 GB | 15 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than MEscriva/ECE-PRYMMAL-0.5B-FT-V4-MUSR-Mathis .
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