SynthIQ 7B is an open-source language model by sethuiyer. Features: 7b LLM, VRAM: 14.4GB, Context: 32K, License: llama2, HF Score: 69.4, LLM Explorer Score: 0.12, Arc: 65.9, HellaSwag: 85.8, MMLU: 64.8, TruthfulQA: 57, WinoGrande: 78.7, GSM8K: 64.1.
Base model:bhenrym14/mistral-7... Base model:dphn/dolphin-2.1-mi... Base model:huggingfaceh4/zephy... Base model:merge:bhenrym14/mis... Base model:merge:dphn/dolphin-... Base model:merge:huggingfaceh4... Base model:merge:open-orca/mis... Base model:merge:quixiai/saman... Base model:merge:weyaxi/openhe... Base model:open-orca/mistral-7... Base model:quixiai/samantha-1.... Base model:weyaxi/openhermes-2... Conversational Dataset:garage-baind/open-plat... Dataset:meta-math/metamathqa Dataset:open-orca/openorca Dataset:open-orca/slimorca Dataset:openassistant/oasst to... Dataset:stingning/ultrachat Dataset:teknium/openhermes Dataset:tiger-lab/mathinstruct Deploy:azure En Endpoints compatible Merge Mistral Model-index Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/sethuiyer/SynthIQ-7b
SynthIQ 7B Benchmarks
ARC: 65.87 vs 96.7 (so35)-31.9%
HellaSwag: 85.82 vs 95.3 (gpt4)-9.9%
MMLU: 64.75 vs 88.3 (so35)-26.7%
TruthfulQA: 57 vs 59 (gpt4)-3.4%
WinoGrande: 78.69 vs 87.5 (gpt4)-10.1%
GSM8K: 64.06 vs 96.4 (so35)-33.5%
LLME Score: 0.12419
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)
SynthIQ 7B Parameters and Internals
| LLM Name | SynthIQ 7B |
| Repository 🤗 | https://huggingface.co/sethuiyer/SynthIQ-7b |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2026-04-10 |
| Maintainer | sethuiyer |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| Model Architecture | MistralForCausalLM |
| License | llama2 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.36.2 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to SynthIQ 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 254 | 20 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 8103 | 54 |
| SpydazWeb AI HumanAI RP | 512K / 14.4 GB | 14 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / 14.4 GB | 18 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 3779 | 16 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 7850 | 16 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 1251 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 5 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than sethuiyer/SynthIQ-7b .
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a