Zephyr All 7B is an open-source language model by jingyeom. Features: 7b LLM, VRAM: 28.9GB, Context: 32K, Quantized, LLM Explorer Score: 0.11.
32bit Autotrain compatible Conversational Endpoints compatible Mistral Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jingyeom/zephyr_all_7b
Zephyr All 7b Benchmarks
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)
Zephyr All 7B Parameters and Internals
| LLM Name | Zephyr All 7b |
| Repository 🤗 | https://huggingface.co/jingyeom/zephyr_all_7b |
| Model Size | 7b |
| Required VRAM | 28.9 GB |
| Updated | 2025-09-12 |
| Maintainer | jingyeom |
| Model Type | mistral |
| Model Files | |
| Quantization Type | 32bit |
| Model Architecture | MistralForCausalLM |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.35.2 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 32001 |
| Torch Data Type | float32 |
Best Alternatives to Zephyr All 7B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...t 3.5 0106 128K 4.0bpw H6 EXL2 | 128K / 3.9 GB | 1 | 1 |
| ...t 3.5 0106 128K 8.0bpw H8 EXL2 | 128K / 7.4 GB | 1 | 1 |
| Mistral 7B V0.3 Bnb 4bit | 32K / 4.1 GB | 351433 | 22 |
| Mistral 7B Instruct V0.2 Fp16 | 32K / 14.4 GB | 26 | 0 |
| Mistral 7B Instruct V0.2 4bit | 32K / 4.3 GB | 133 | 1 |
| ...tral 7B Instruct V0.3 Bnb 4bit | 32K / 4.1 GB | 30437 | 28 |
| Mistral 7B Instruct V0.2 8bit | 32K / 7.6 GB | 13 | 1 |
| ...tral 7B Instruct V0.2 Bnb 4bit | 32K / 4.1 GB | 12567 | 36 |
| Mixtral V0.3 Full 16bit | 32K / 14.5 GB | 6 | 0 |
| Mistral 7B Instruct V0.3 4bit | 32K / 4.1 GB | 25053 | 8 |
Note: green Score (e.g. "73.2") means that the model is better than jingyeom/zephyr_all_7b .
Rank the Zephyr All 7B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a