Model Card on HF 🤗: https://huggingface.co/amazon/MistralLite-AWQ
MistralLite AWQ 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)
MistralLite AWQ Parameters and Internals
| Model Type |
|
| LLM Name | MistralLite AWQ |
| Repository 🤗 | https://huggingface.co/amazon/MistralLite-AWQ |
| Model Size | 1.2b |
| Required VRAM | 4.2 GB |
| Updated | 2025-02-05 |
| Maintainer | amazon |
| Model Type | mistral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32003 |
| Torch Data Type | float16 |
Best Alternatives to MistralLite AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Feedback Wizard 4bit AWQ | 32K / 4.2 GB | 23 | 0 |
| Quantized Kheopss AWQ 4bits V1 | 32K / 4.2 GB | 17 | 0 |
| Ryze AWQ 4bit | 32K / 4.2 GB | 8 | 0 |
| ...lot Engine Step Json Short AWQ | 32K / 4.2 GB | 77 | 0 |
| ...V3 Plot Chat Roleplay Chat AWQ | 32K / 4.2 GB | 77 | 0 |
| Dictalm2.0 Instruct AWQ | 32K / 4.2 GB | 369 | 0 |
| Dictalm2.0 AWQ | 32K / 4.2 GB | 382 | 0 |
| LemonadeRP 4.5.3 AWQ | 32K / 4.2 GB | 77 | 0 |
| SFR Embedding Mistral AWQ | 32K / 4.2 GB | 16 | 0 |
| Yugo55A GPT AWQ | 32K / 4.2 GB | 6 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than amazon/MistralLite-AWQ .
Rank the MistralLite AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227