Mpt 7B Instruct Q8 is an open-source language model by Abzu. Features: 7b LLM, VRAM: 6.9GB, License: cc-by-sa-3.0, Quantized, Instruction-Based, HF Score: 44.8, LLM Explorer Score: 0.12, Arc: 38.4, HellaSwag: 75.8, MMLU: 30.6, TruthfulQA: 35.1, WinoGrande: 70.5, GSM8K: 7.8.
Arxiv:2010.04245 Arxiv:2108.12409 Arxiv:2205.14135 8-bit Composer Custom code Dataset:mosaicml/dolly hhrlhf Instruct Llm-foundry Mosaicml Mpt Q8 Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/Abzu/mpt-7b-instruct-q8
Mpt 7B Instruct Q8 Benchmarks
ARC: 38.4 vs 96.7 (so35)-60.3%
HellaSwag: 75.8 vs 95.3 (gpt4)-20.5%
MMLU: 30.6 vs 88.3 (so35)-65.3%
TruthfulQA: 35.08 vs 59 (gpt4)-40.5%
WinoGrande: 70.48 vs 87.5 (gpt4)-19.5%
GSM8K: 7.8 vs 96.4 (so35)-91.9%
OpenCompas: 36.8 vs 73.3 (gpt4)-49.8%
Exam: 30.2 vs 77.2 (gpt4)-60.9%
Language: 32 vs 62 (gpt4)-48.4%
Knowledge: 40.8 vs 73.5 (gpt4)-44.5%
Understand: 37.5 vs 70 (gpt4)-46.4%
Reasoning: 38.7 vs 74.4 (gpt4)-48%
LLME Score: 0.11601
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)
Mpt 7B Instruct Q8 Parameters and Internals
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| LLM Name | Mpt 7B Instruct Q8 |
| Repository 🤗 | https://huggingface.co/Abzu/mpt-7b-instruct-q8 |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 6.9 GB |
| Updated | 2026-04-03 |
| Maintainer | Abzu |
| Model Type | mpt |
| Instruction-Based | Yes |
| Model Files | |
| Quantization Type | q8 |
| Model Architecture | MPTForCausalLM |
| License | cc-by-sa-3.0 |
| Model Max Length | 2048 |
| Transformers Version | 4.30.2 |
| Tokenizer Class | GPTNeoXTokenizer |
| Vocabulary Size | 50432 |
| Torch Data Type | bfloat16 |
Best Alternatives to Mpt 7B Instruct Q8
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mpt 7B Chat Q8 | 0K / 6.9 GB | 21 | 1 |
| Mpt 7B Chat | 0K / 13.3 GB | 80920 | 518 |
| Mpt 7B Instruct | 0K / 13.3 GB | 7946 | 470 |
| Mpt 7B Int8 Ov | 0K / 0 GB | 13 | 0 |
| Mpt 7B 8K Instruct | 0K / 13.3 GB | 2012 | 27 |
| SEA LION V1 7B IT GPTQ | 0K / 5.5 GB | 11 | 0 |
| SEA LION V1 7B IT GBTQ | 0K / 5.5 GB | 7 | 0 |
| Sea Lion 7B Instruct Gptq | 0K / 5.5 GB | 5 | 0 |
| Sea Lion 7B Instruct | 0K / 15 GB | 208 | 23 |
| Sea Lion 7B Instruct Research | 0K / 15 GB | 11 | 14 |
Note: green Score (e.g. "73.2") means that the model is better than Abzu/mpt-7b-instruct-q8 .
Rank the Mpt 7B Instruct Q8 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a