4-bit Awq Base model:quantized:rombodawg... Base model:rombodawg/everyone-... Codegen Merge Mixtral Moe Quantized Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/TheBloke/Everyone-Coder-4x7b-Base-AWQ
Everyone Coder 4x7b Base 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)
Everyone Coder 4x7b Base AWQ Parameters and Internals
| Model Type |
|
| LLM Name | Everyone Coder 4x7b Base AWQ |
| Repository 🤗 | https://huggingface.co/TheBloke/Everyone-Coder-4x7b-Base-AWQ |
| Model Name | Everyone Coder 4X7B Base |
| Model Creator | rombo dawg |
| Base Model(s) | |
| Model Size | 24.2b |
| Required VRAM | 13 GB |
| Updated | 2026-02-04 |
| Maintainer | TheBloke |
| Model Type | mixtral |
| Model Files | |
| AWQ Quantization | Yes |
| Quantization Type | awq |
| Generates Code | Yes |
| Model Architecture | MixtralForCausalLM |
| License | cc-by-4.0 |
| 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 Everyone Coder 4x7b Base AWQ
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Everyone Coder 4x7b Base | 32K / 48.3 GB | 8576 | 42 |
| Sixtyoneeighty 4x7B V1 | 32K / 48.3 GB | 5 | 0 |
| Everyone Coder 4x7b Base GPTQ | 32K / 12.5 GB | 20 | 4 |
| Sixtyoneeighty 4x7B V2 | 32K / 48.3 GB | 0 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than TheBloke/Everyone-Coder-4x7b-Base-AWQ .
Rank the Everyone Coder 4x7b Base AWQ Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124