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GLM 4.7 Int4 Mixed AutoRound by Intel

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GLM 4.7 Int4 Mixed AutoRound is an open-source language model by Intel. Features: LLM, VRAM: 193.5GB, Context: 198K, LLM Explorer Score: 0.24.

  Arxiv:2309.05516   4-bit   Auto-round Base model:quantized:zai-org/g...   Base model:zai-org/glm-4.7   Conversational   Glm4 moe   Region:us   Safetensors   Sharded   Tensorflow
Model Card on HF 🤗: https://huggingface.co/Intel/GLM-4.7-int4-mixed-AutoRound 

GLM 4.7 Int4 Mixed AutoRound Benchmarks

LLME Score: 0.23968
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GLM 4.7 Int4 Mixed AutoRound (Intel/GLM-4.7-int4-mixed-AutoRound)
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GLM 4.7 Int4 Mixed AutoRound Parameters and Internals

LLM NameGLM 4.7 Int4 Mixed AutoRound
Repository 🤗https://huggingface.co/Intel/GLM-4.7-int4-mixed-AutoRound 
Base Model(s)  zai-org/GLM-4.7   zai-org/GLM-4.7
Required VRAM193.5 GB
Updated2026-04-21
MaintainerIntel
Model Typeglm4_moe
Model Files  5.0 GB: 1-of-39   5.0 GB: 2-of-39   5.0 GB: 3-of-39   5.0 GB: 4-of-39   5.0 GB: 5-of-39   5.0 GB: 6-of-39   5.0 GB: 7-of-39   5.0 GB: 8-of-39   5.0 GB: 9-of-39   5.0 GB: 10-of-39   5.0 GB: 11-of-39   5.0 GB: 12-of-39   5.0 GB: 13-of-39   5.0 GB: 14-of-39   5.0 GB: 15-of-39   5.0 GB: 16-of-39   5.0 GB: 17-of-39   5.0 GB: 18-of-39   5.0 GB: 19-of-39   5.0 GB: 20-of-39   5.0 GB: 21-of-39   5.0 GB: 22-of-39   5.0 GB: 23-of-39   5.0 GB: 24-of-39   5.0 GB: 25-of-39   5.0 GB: 26-of-39   5.0 GB: 27-of-39   5.0 GB: 28-of-39   5.0 GB: 29-of-39   5.0 GB: 30-of-39   5.0 GB: 31-of-39   5.0 GB: 32-of-39   5.0 GB: 33-of-39   5.0 GB: 34-of-39   5.0 GB: 35-of-39   5.0 GB: 36-of-39   5.0 GB: 37-of-39   5.0 GB: 38-of-39   3.5 GB: 39-of-39
Model ArchitectureGlm4MoeForCausalLM
Context Length202752
Model Max Length202752
Transformers Version4.57.3
Tokenizer ClassPreTrainedTokenizerFast
Padding Token<|endoftext|>
Vocabulary Size151552

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Note: green Score (e.g. "73.2") means that the model is better than Intel/GLM-4.7-int4-mixed-AutoRound.

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