Aya 23 35B AWQ Ru V0 is an open-source language model by alegchenko. Features: 35b LLM, VRAM: 24GB, Context: 8K, License: cc-by-4.0, Quantized, LLM Explorer Score: 0.15.
4-bit Autotrain compatible Awq Cohere Conversational En Endpoints compatible Quantized Region:us Ru Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/alegchenko/aya-23-35B-AWQ-ru-v0
Aya 23 35B AWQ Ru V0 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)
Aya 23 35B AWQ Ru V0 Parameters and Internals
| Supported Languages |
|
| LLM Name | Aya 23 35B AWQ Ru V0 |
| Repository 🤗 | https://huggingface.co/alegchenko/aya-23-35B-AWQ-ru-v0 |
| Model Size | 35b |
| Required VRAM | 24 GB |
| Updated | 2025-09-23 |
| Maintainer | alegchenko |
| Model Type | cohere |
| Model Files | |
| Supported Languages | ru en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | CohereForCausalLM |
| License | cc-by-4.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | CohereTokenizer |
| Padding Token | <PAD> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Aya 23 35B AWQ Ru V0
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ... Aya 23 35b Sft M1 D5 AWQ 4bit | 8K / 25.5 GB | 2 | 3 |
| Aya 23 35B 8bit | 8K / 36.9 GB | 13 | 2 |
| Aya 23 35B 4bit | 8K / 19.6 GB | 12 | 1 |
| Aya 23 35B 5.0bpw H6 EXL2 | 8K / 27.8 GB | 7 | 1 |
| Aya 23 35B 8.0bpw H8 EXL2 | 8K / 39.2 GB | 0 | 2 |
| Aya 23 35B 4.0bpw H6 EXL2 | 8K / 23.4 GB | 3 | 1 |
| ...reForAI Aya 23 35B 5 0bpw EXL2 | 8K / 27.7 GB | 3 | 1 |
| Aya 23 35B 3.0bpw H6 EXL2 | 8K / 19 GB | 5 | 0 |
| Aya 23 35B 4.65bpw H6 EXL2 | 8K / 26.1 GB | 5 | 0 |
| Aya 23 35B 6.0bpw H6 EXL2 | 8K / 32.1 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than alegchenko/aya-23-35B-AWQ-ru-v0 .
Rank the Aya 23 35B AWQ Ru V0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260327b