Starling LM 7B Beta AWQ is an open-source language model by solidrust. Features: 7b LLM, VRAM: 4.2GB, Context: 8K, License: apache-2.0, Quantized, HF Score: 70.2, LLM Explorer Score: 0.14, Arc: 67.9, HellaSwag: 83.6, MMLU: 65.3, TruthfulQA: 57.2, WinoGrande: 81.4, GSM8K: 65.7.
Arxiv:1909.08593 4-bit Autotrain compatible Awq Base model:nexusflow/starling-... Base model:quantized:nexusflow... Chatml Conversational Dataset:berkeley-nest/nectar En Endpoints compatible Mistral Quantized Region:us Reward model Rlaif Rlhf Safetensors
Model Card on HF 🤗: https://huggingface.co/solidrust/Starling-LM-7B-beta-AWQ
Starling LM 7B Beta AWQ Benchmarks
ARC: 67.92 vs 96.7 (so35)-29.8%
HellaSwag: 83.62 vs 95.3 (gpt4)-12.3%
MMLU: 65.3 vs 88.3 (so35)-26%
TruthfulQA: 57.16 vs 59 (gpt4)-3.1%
WinoGrande: 81.37 vs 87.5 (gpt4)-7%
GSM8K: 65.66 vs 96.4 (so35)-31.9%
LLME Score: 0.13635
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)
Starling LM 7B Beta AWQ Parameters and Internals
| LLM Name | Starling LM 7B Beta AWQ |
| Repository 🤗 | https://huggingface.co/solidrust/Starling-LM-7B-beta-AWQ |
| Model Name | Starling-LM-7B-beta |
| Model Creator | Nexusflow |
| Base Model(s) | |
| Model Size | 7b |
| Required VRAM | 4.2 GB |
| Updated | 2026-04-03 |
| Maintainer | solidrust |
| Model Type | mistral |
| Model Files | |
| Supported Languages | en |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.39.1 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <|end_of_turn|> |
| Vocabulary Size | 32002 |
| Torch Data Type | float16 |
Best Alternatives to Starling LM 7B Beta AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 5 | 0 |
| Mistral 7B Instruct V0.3 AWQ | 32K / 4.2 GB | 3381 | 9 |
| Mistral 7B Instruct V0.2 AWQ | 32K / 4.2 GB | 14348 | 52 |
| Ghost 7B Alpha AWQ | 32K / 4.2 GB | 6 | 0 |
| Tess 7B V2.0 AWQ | 32K / 4.2 GB | 5 | 1 |
| ...reeze 7B 32K Instruct V1.0 AWQ | 32K / 4.7 GB | 9 | 0 |
| Breeze 7B Instruct V1.0 AWQ | 32K / 4.6 GB | 6 | 0 |
| Mahou 1.3a Mistral 7B AWQ | 32K / 4.2 GB | 2 | 1 |
| Mahou 1.3 Mistral 7B AWQ | 32K / 4.2 GB | 7 | 0 |
| NSFW DPO Noromaid 7B AWQ | 32K / 4.2 GB | 3 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than solidrust/Starling-LM-7B-beta-AWQ .
Rank the Starling LM 7B Beta AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a