Ryze AWQ 4bit is an open-source language model by Fulcrum-AI. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.
4-bit 4bit Autotrain compatible Awq Conversational Endpoints compatible Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Fulcrum-AI/Ryze-AWQ-4bit
Ryze 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)
Ryze AWQ 4bit Parameters and Internals
| LLM Name | Ryze AWQ 4bit |
| Repository 🤗 | https://huggingface.co/Fulcrum-AI/Ryze-AWQ-4bit |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2025-09-23 |
| Maintainer | Fulcrum-AI |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq|4bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.41.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | </s> |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
Best Alternatives to Ryze AWQ 4bit
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Quantized Kheopss AWQ 4bits V1 | 32K / 4.2 GB | 17 | 0 |
| ...V3 Plot Chat Roleplay Chat AWQ | 32K / 4.2 GB | 6 | 0 |
| MistralLite AWQ | 32K / 4.2 GB | 42 | 3 |
| SFR Embedding Mistral AWQ | 32K / 4.2 GB | 16 | 0 |
| Yugo55A GPT AWQ | 32K / 4.2 GB | 6 | 0 |
| Mistral Ft Optimized 1218 AWQ | 32K / 4.2 GB | 11 | 0 |
| Go Bruins V2.1.1 AWQ | 32K / 4.2 GB | 6 | 1 |
| Openchat 3.5 16K AWQ | 32K / 4.2 GB | 16 | 2 |
| Openchat 3.5 16K AWQ | 32K / 4.2 GB | 3 | 1 |
| Openchat 3.5 0106 AWQ | 8K / 4.2 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than Fulcrum-AI/Ryze-AWQ-4bit .
Rank the Ryze AWQ 4bit Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a