4-bit 4bit Autotrain compatible Awq Cohere Conversational Endpoints compatible Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/IlyaGusev/saiga_aya_23_35b_sft_m1_d5_awq_4bit
Saiga Aya 23 35b Sft M1 D5 AWQ 4bit 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)
Saiga Aya 23 35B Sft M1 D5 AWQ 4bit Parameters and Internals
| LLM Name | Saiga Aya 23 35b Sft M1 D5 AWQ 4bit |
| Repository 🤗 | https://huggingface.co/IlyaGusev/saiga_aya_23_35b_sft_m1_d5_awq_4bit |
| Model Size | 35b |
| Required VRAM | 25.5 GB |
| Updated | 2025-02-22 |
| Maintainer | IlyaGusev |
| Model Type | cohere |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq|4bit |
| Model Architecture | CohereForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.1 |
| Tokenizer Class | CohereTokenizer |
| Padding Token | <PAD> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Saiga Aya 23 35B Sft M1 D5 AWQ 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Aya 23 35B AWQ Ru V0 | 8K / 24 GB | 6 | 0 |
| Aya 23 35B 8bit | 8K / 36.9 GB | 67 | 2 |
| Aya 23 35B 4bit | 8K / 19.6 GB | 11 | 1 |
| Aya 23 35B 8.0bpw H8 EXL2 | 8K / 39.2 GB | 6 | 2 |
| ...reForAI Aya 23 35B 4 0bpw EXL2 | 8K / 23.3 GB | 5 | 1 |
| Aya 23 35B 4.0bpw H6 EXL2 | 8K / 23.4 GB | 5 | 1 |
| ...reForAI Aya 23 35B 5 0bpw EXL2 | 8K / 27.7 GB | 5 | 1 |
| Aya 23 35B 5.0bpw H6 EXL2 | 8K / 27.8 GB | 5 | 1 |
| Aya 23 35B 6.0bpw H6 EXL2 | 8K / 32.1 GB | 6 | 0 |
| Aya 23 35B 3.0bpw H6 EXL2 | 8K / 19 GB | 5 | 0 |
Rank the Saiga Aya 23 35B Sft M1 D5 AWQ 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227