4-bit Base model:mlabonne/beyonder-4... Base model:quantized:mlabonne/... Gptq Mixtral Moe Quantized Region:us Safetensors
Model Card on HF 🤗: https://huggingface.co/TheBloke/Beyonder-4x7B-v2-GPTQ
Beyonder 4x7B V2 GPTQ 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)
Beyonder 4x7B V2 GPTQ Parameters and Internals
| LLM Name | Beyonder 4x7B V2 GPTQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Beyonder-4x7B-v2-GPTQ |
| Model Name | Beyonder 4X7B v2 |
| Model Creator | Maxime Labonne |
| Base Model(s) | |
| Model Size | 24.2b |
| Required VRAM | 12.5 GB |
| Updated | 2025-12-20 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq |
| Model Architecture | MixtralForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.37.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Padding Token | <s> |
| Vocabulary Size | 32000 |
| Torch Data Type | bfloat16 |
Best Alternatives to Beyonder 4x7B V2 GPTQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Everyone Coder 4x7b Base GPTQ | 32K / 12.5 GB | 20 | 4 |
| Mixtral 8x7B V0.1 4bit Bnb | 32K / 24.5 GB | 7 | 1 |
| ...al 8x7B Instruct V0.1 4bit Bnb | 32K / 24.5 GB | 6 | 1 |
| ...ixtral 8x7B Instruct V0.1 4bit | 32K / 24.5 GB | 8 | 2 |
| Dzakwan MoE 4x7b Beta | 32K / 48.4 GB | 9072 | 0 |
| Beyonder 4x7B V3 | 32K / 48.3 GB | 9065 | 59 |
| Mera Mix 4x7B | 32K / 48.3 GB | 9725 | 19 |
| Calme 4x7B MoE V0.1 | 32K / 48.3 GB | 9067 | 2 |
| Calme 4x7B MoE V0.2 | 32K / 48.3 GB | 7890 | 2 |
| MixtureofMerges MoE 4x7b V5 | 32K / 48.3 GB | 7856 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Beyonder-4x7B-v2-GPTQ .
Rank the Beyonder 4x7B V2 GPTQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124