8-bit 8bit Autotrain compatible Base model:quantized:vikhrmode... Base model:vikhrmodels/qvikhr-... Conversational En Endpoints compatible Instruct Mlx Quantized Qwen2 Region:us Ru Safetensors
Model Card on HF 🤗: https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO_MLX-8bit
QVikhr 2.5 1.5B Instruct SMPO MLX 8bit 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)
QVikhr 2.5 1.5B Instruct SMPO MLX 8bit Parameters and Internals
| LLM Name | QVikhr 2.5 1.5B Instruct SMPO MLX 8bit |
| Repository 🤗 | https://huggingface.co/Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO_MLX-8bit |
| Model Name | Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO |
| Base Model(s) | |
| Model Size | 1.5b |
| Required VRAM | 1.6 GB |
| Updated | 2025-09-23 |
| Maintainer | Vikhrmodels |
| Model Type | qwen2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | ru en |
| Quantization Type | 8bit |
| Model Architecture | Qwen2ForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.47.0 |
| Tokenizer Class | Qwen2Tokenizer |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 151665 |
| Torch Data Type | bfloat16 |
| Errors | replace |
Best Alternatives to QVikhr 2.5 1.5B Instruct SMPO MLX 8bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...1.5B Instruct Unsloth Bnb 4bit | 32K / 1.5 GB | 33313 | 5 |
| Zirel 1.5 | 32K / 3.1 GB | 18 | 0 |
| Text2SQL 1.5B | 32K / 3.1 GB | 21 | 7 |
| Qwen2.5 1.5B Claude | 32K / 3.1 GB | 5 | 0 |
| Qwen2.5 1.5B Instruct 4bit | 32K / 0.9 GB | 7571 | 1 |
| BAI Qwen 2.5 1.5B Reasoning | 32K / 3.1 GB | 6 | 0 |
| Qwen2.5 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 3159 | 5 |
| ...5 Coder 1.5B Instruct Bnb 4bit | 32K / 1.1 GB | 2834 | 1 |
| Qwen 2.5 GRPO 1e | 32K / 3.1 GB | 6 | 0 |
| FastApply 1.5B V1.0 | 32K / 3.1 GB | 783 | 38 |
Note: green Score (e.g. "73.2") means that the model is better than Vikhrmodels/QVikhr-2.5-1.5B-Instruct-SMPO_MLX-8bit .
Rank the QVikhr 2.5 1.5B Instruct SMPO MLX 8bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124