Model Card on HF 🤗: https://huggingface.co/mmnga/cyberagent-calm2-7b-chat-GPTQ-calib-ja-1k
Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K 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)
Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K Parameters and Internals
| LLM Name | Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K |
| Repository 🤗 | https://huggingface.co/mmnga/cyberagent-calm2-7b-chat-GPTQ-calib-ja-1k |
| Model Size | 7b |
| Required VRAM | 4.4 GB |
| Updated | 2024-12-21 |
| Maintainer | mmnga |
| Model Type | llama |
| Model Files | |
| GPTQ Quantization | Yes |
| Quantization Type | gptq|4bit |
| Model Architecture | LlamaForCausalLM |
| License | apache-2.0 |
| Context Length | 32768 |
| Model Max Length | 32768 |
| Transformers Version | 4.34.1 |
| Tokenizer Class | GPTNeoXTokenizer |
| Padding Token | <|padding|> |
| Vocabulary Size | 65024 |
| Torch Data Type | bfloat16 |
Best Alternatives to Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Yarn Llama 2 7B 128K GPTQ | 128K / 3.9 GB | 18 | 7 |
| Yarn Llama 2 7B 64K GPTQ | 64K / 3.9 GB | 21 | 1 |
| ... 7B 32K Instructions V4 Marlin | 32K / 4.1 GB | 12 | 0 |
| Aixcoder 7B GPTQ | 32K / 4.5 GB | 12 | 1 |
| Calm2 7B Chat GPTQ | 32K / 4.4 GB | 27 | 6 |
| Llama 2 7B 32K Instruct GPTQ | 32K / 3.9 GB | 72 | 27 |
| Codebear 7B 4bit | 16K / 3.9 GB | 7 | 1 |
| ...a 7B Instruct GPTQ Calib Ja 1K | 16K / 3.9 GB | 36 | 0 |
| CodeLlama 7B Instruct GPTQ | 16K / 3.9 GB | 550 | 46 |
| Pandalyst 7B V1.2 GPTQ | 16K / 3.9 GB | 29 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than mmnga/cyberagent-calm2-7b-chat-GPTQ-calib-ja-1k .
Rank the Cyberagent Calm2 7B Chat GPTQ Calib Ja 1K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241217