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GritLM 8x7B by GritLM

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  Arxiv:2402.09906   Autotrain compatible Base model:finetune:mistralai/... Base model:mistralai/mixtral-8...   Conversational   Custom code   Dataset:gritlm/tulu2   Endpoints compatible   Instruct   Mixtral   Model-index   Moe   Mteb   Pytorch   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/GritLM/GritLM-8x7B 

GritLM 8x7B Benchmarks

ARC: 67.75 vs 96.7 (so35)-29.9%
HellaSwag: 86.52 vs 95.3 (gpt4)-9.2%
MMLU: 71.42 vs 88.3 (so35)-19.1%
TruthfulQA: 49.47 vs 59 (gpt4)-16.2%
WinoGrande: 82.79 vs 87.5 (gpt4)-5.4%
GSM8K: 61.64 vs 96.4 (so35)-36.1%
LLME Score: 0.19776
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GritLM 8x7B (GritLM/GritLM-8x7B)
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GritLM 8x7B Parameters and Internals

LLM NameGritLM 8x7B
Repository 🤗https://huggingface.co/GritLM/GritLM-8x7B 
Base Model(s)  mistralai/Mixtral-8x7B-Instruct-v0.1   mistralai/Mixtral-8x7B-Instruct-v0.1
Model Size46.7b
Required VRAM93.6 GB
Updated2025-07-30
MaintainerGritLM
Model Typemixtral
Instruction-BasedYes
Model Files  4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19   4.9 GB: 1-of-19   5.0 GB: 2-of-19   5.0 GB: 3-of-19   4.9 GB: 4-of-19   5.0 GB: 5-of-19   5.0 GB: 6-of-19   4.9 GB: 7-of-19   5.0 GB: 8-of-19   5.0 GB: 9-of-19   4.9 GB: 10-of-19   5.0 GB: 11-of-19   5.0 GB: 12-of-19   5.0 GB: 13-of-19   4.9 GB: 14-of-19   5.0 GB: 15-of-19   5.0 GB: 16-of-19   4.9 GB: 17-of-19   5.0 GB: 18-of-19   4.2 GB: 19-of-19
Model ArchitectureMixtralForCausalLM
Licenseapache-2.0
Context Length32768
Model Max Length32768
Transformers Version4.37.2
Tokenizer ClassLlamaTokenizer
Padding Token<s>
Vocabulary Size32000
Torch Data Typebfloat16

Quantized Models of the GritLM 8x7B

Model
Likes
Downloads
VRAM
GritLM 8x7B GGUF47817 GB

Best Alternatives to GritLM 8x7B

Best Alternatives
Context / RAM
Downloads
Likes
Mixtral 8x7B Instruct V0.132K / 93.6 GB3241934514
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB14030
...xtral 8x7B Yes Instruct LimaRP32K / 93.5 GB130
Sage Ft Mixtral 8x7b32K / 90 GB22924
Mixtral 8x7B Instruct V0.1 FP832K / 47.1 GB3740
Merge Mixtral Prometheus 8x7B32K / 91.9 GB52
...rkrautLM Mixtral 8x7B Instruct32K / 93.6 GB156122
Notux 8x7b V132K / 93.6 GB14163
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB41251235
Dolphin 2.5 Mixtral 8x7b32K / 93.6 GB32571235
Note: green Score (e.g. "73.2") means that the model is better than GritLM/GritLM-8x7B.

Rank the GritLM 8x7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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