Quantized Kheopss AWQ 4bits V1 is an open-source language model by kheopss. Features: 1.2b LLM, VRAM: 4.2GB, Context: 32K, Quantized, LLM Explorer Score: 0.14.
16bit 4-bit Autotrain compatible Awq Conversational Endpoints compatible Mistral Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/kheopss/quantized_kheopss_AWQ_4bits_V1
Quantized Kheopss AWQ 4bits V1 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)
Quantized Kheopss AWQ 4bits V1 Parameters and Internals
| LLM Name | Quantized Kheopss AWQ 4bits V1 |
| Repository 🤗 | https://huggingface.co/kheopss/quantized_kheopss_AWQ_4bits_V1 |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2024-08-08 |
| Maintainer | kheopss |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq|16bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.43.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <unk> |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
Best Alternatives to Quantized Kheopss AWQ 4bits V1
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Ryze AWQ 4bit | 32K / 4.2 GB | 5 | 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 |
Rank the Quantized Kheopss AWQ 4bits V1 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a