Autotrain compatible Base model:causallm/14b Base model:finetune:causallm/1... Dataset:baai/coig Dataset:fnlp/moss-003-sft-data Dataset:garage-baind/open-plat... Dataset:jondurbin/airoboros-3.... Dataset:josephuscheung/guanaco... Dataset:ldjnr/puffin Dataset:liuhaotian/llava-instr... Dataset:liwu/mnbvc Dataset:meta-math/metamathqa Dataset:milashkaarshif/moegirl... Dataset:open-orca/openorca Dataset:openbmb/llava zh Dataset:ryokoai/fandom23k Dataset:ryokoai/sharegpt52k Dataset:stingning/ultrachat Dataset:teknium/openhermes Dataset:tigerresearch/tigerbot... Dataset:wiki lingua Dataset:wikipedia Dataset:wizardlm/wizardlm evol... En Exl2 Instruct Llama Llama2 Quantized Region:us Zh
Model Card on HF 🤗: https://huggingface.co/cgus/CausalLM-14B-exl2
CausalLM 14B EXL2 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)
CausalLM 14B EXL2 Parameters and Internals
| LLM Name | CausalLM 14B EXL2 |
| Repository 🤗 | https://huggingface.co/cgus/CausalLM-14B-exl2 |
| Model Name | CausalLM 14B |
| Model Creator | CausalLM |
| Base Model(s) | |
| Model Size | 14b |
| Required VRAM | 8.5 GB |
| Updated | 2025-09-23 |
| Maintainer | cgus |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | en zh |
| Quantization Type | exl2 |
| Model Architecture | LlamaForCausalLM |
| License | wtfpl |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | GPT2Tokenizer |
| Vocabulary Size | 152064 |
| Torch Data Type | float16 |
| Errors | replace |
Best Alternatives to CausalLM 14B EXL2
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...hocolatine 2 14B Instruct V2.0 | 16K / 29.4 GB | 22 | 6 |
| ...colatine 2 14B Instruct V2.0.1 | 16K / 29.4 GB | 30 | 1 |
| 14B | 8K / 28.4 GB | 2735 | 307 |
| CausalLM 14B GPTQ | 8K / 9.7 GB | 19 | 20 |
| CausalLM 14B AWQ | 8K / 9.7 GB | 11 | 10 |
Note: green Score (e.g. "73.2") means that the model is better than cgus/CausalLM-14B-exl2 .
Rank the CausalLM 14B EXL2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124