4-bit Autotrain compatible Awq Base model:mlabonne/beyonder-4... Base model:quantized:mlabonne/... Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Beyonder-4x7B-v2-AWQ
Beyonder 4x7B V2 AWQ 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 AWQ Parameters and Internals
| LLM Name | Beyonder 4x7B V2 AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Beyonder-4x7B-v2-AWQ |
| Model Name | Beyonder 4X7B v2 |
| Model Creator | Maxime Labonne |
| Base Model(s) | |
| Model Size | 3.5b |
| Required VRAM | 13 GB |
| Updated | 2025-02-22 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| 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 | float16 |
Best Alternatives to Beyonder 4x7B V2 AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| BeyondInfinity V2 4x7B AWQ | 32K / 13 GB | 10 | 1 |
| ...r Dolphin Mixtral 4x7b DPO AWQ | 32K / 13 GB | 11 | 1 |
| Everyone Coder 4x7b Base AWQ | 32K / 13 GB | 8 | 2 |
| ... Fusion 4x7B Instruct V0.1 AWQ | 32K / 13 GB | 20 | 2 |
| Mixtralnt 4x7b Test AWQ | 32K / 13 GB | 17 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Beyonder-4x7B-v2-AWQ .
Rank the Beyonder 4x7B V2 AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227