32bit Autotrain compatible Conversational Endpoints compatible Instruct Llama Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/genne/eclectus_1.1_dedup
Eclectus 1.1 Dedup 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)
Eclectus 1.1 Dedup Parameters and Internals
| LLM Name | Eclectus 1.1 Dedup |
| Repository 🤗 | https://huggingface.co/genne/eclectus_1.1_dedup |
| Model Size | 10.7b |
| Required VRAM | 21.4 GB |
| Updated | 2025-08-19 |
| Maintainer | genne |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | 32bit |
| Model Architecture | LlamaForCausalLM |
| Context Length | 4096 |
| Model Max Length | 4096 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32001 |
| Torch Data Type | float16 |
Best Alternatives to Eclectus 1.1 Dedup
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... 10.7B Instruct V1.0 128K EXL2 | 128K / 5.6 GB | 6 | 1 |
| Eclectus1.1 | 4K / 21.4 GB | 734 | 0 |
| Solar 10.7B SLERP EXL2 | 4K / 5.6 GB | 4 | 4 |
| ...Instruct V1.0 6.0bpw H6 EXL2 2 | 4K / 8.2 GB | 5 | 2 |
| ...Instruct V1.0 8.0bpw H8 EXL2 2 | 4K / 10.8 GB | 5 | 1 |
| ...Instruct V1.0 3.0bpw H6 EXL2 2 | 4K / 4.3 GB | 5 | 0 |
| SOLAR 10.7B Instruct V1.0 128K | 128K / 21.4 GB | 5 | 4 |
| SOLAR 10.7B V1.0 Instruct 16K | 16K / 21.4 GB | 63 | 2 |
| SauerkrautLM SOLAR Instruct | 8K / 21.4 GB | 1820 | 46 |
| MetaModelv2 | 8K / 21.4 GB | 1825 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than genne/eclectus_1.1_dedup .
Rank the Eclectus 1.1 Dedup Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124