Merged Model Autotrain compatible Base model:cultrix/qwen2.5-14b... Base model:cultrix/seqwence-14... Base model:cultrix/seqwence-14... Base model:v000000/qwen2.5-lum... Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/sometimesanotion/Lamarck-14B-v0.1-experimental
Lamarck 14B V0.1 Experimental Benchmarks
MMLU Pro: 48.98
GPQA: 17.56
MUSR: 18.64
BBH: 50.79
IFEval: 53.54 vs 88 (so35)-39.2%
MATH Lvl 5: 35.8
LLME Score: 0.32441
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)
Lamarck 14B V0.1 Experimental Parameters and Internals
| LLM Name | Lamarck 14B V0.1 Experimental |
| Repository 🤗 | https://huggingface.co/sometimesanotion/Lamarck-14B-v0.1-experimental |
| Base Model(s) | |
| Merged Model | Yes |
| Model Size | 14b |
| Required VRAM | 29.7 GB |
| Updated | 2024-12-10 |
| Maintainer | sometimesanotion |
| Model Type | qwen2 |
| Model Files | |
| Supported Languages | en |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.45.2 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151665 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to Lamarck 14B V0.1 Experimental
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Qwen2.5 14B Instruct 1M | 986K / 29.6 GB | 141948 | 306 |
| T3Q Qwen2.5 14B V1.0 E3 | 986K / 29.7 GB | 690 | 26 |
| ZYH LLM Qwen2.5 14B V4 | 986K / 29.7 GB | 112 | 6 |
| Qwen2.5 14B 1M YOYO V3 | 986K / 29.7 GB | 254 | 4 |
| ZYH LLM Qwen2.5 14B V3 | 986K / 29.7 GB | 138 | 8 |
| Qwen2.5 14B YOYO Latest V2 | 986K / 29.7 GB | 129 | 0 |
| Impish QWEN 14B 1M | 986K / 29.7 GB | 167 | 17 |
| Qwen2.5 14B YOYO V4 | 986K / 29.7 GB | 10 | 4 |
| ...14B Instruct 1M GRPO Reasoning | 986K / 29.7 GB | 23 | 4 |
| Etr1o V1.2 | 986K / 29.7 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sometimesanotion/Lamarck-14B-v0.1-experimental .
Rank the Lamarck 14B V0.1 Experimental Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227