Arxiv:2309.00071 Autotrain compatible Custom code Dataset:pg19 Endpoints compatible Llama Pytorch Region:us Sharded Yarn
Rank the Yarn Llama 2 7B 128K Capabilities
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Quantized Models of the Yarn Llama 2 7B 128K
Model |
Likes |
Downloads |
VRAM |
|---|---|---|---|
| Yarn Llama 2 7B 128K GGUF | 21 | 1188 | 2 GB |
| Yarn Llama 2 7B 128K GPTQ | 7 | 24 | 3 GB |
| Yarn Llama 2 7B 128K GGML | 6 | 2 | 2 GB |
| Yarn Llama 2 7B 128K AWQ | 0 | 9 | 3 GB |
Best Alternatives to Yarn Llama 2 7B 128K
Best Alternatives |
HF Rank |
Context/RAM |
Downloads |
Likes |
|---|---|---|---|---|
| Bagel DPO 7B V0.1 | 67.95 | 32K / 14.4 GB | 1504 | 41 |
| Internlm2 7B Llama | 66.94 | 32K / 15.5 GB | 121 | 11 |
| Internlm2 Chat 7B Sft Llama | 64.34 | 32K / 15.5 GB | 764 | 0 |
| Titanbagel | 64.21 | 32K / 14.4 GB | 980 | 0 |
| Smaugv0.1 3.0bpw H6 EXL2 | 60.1 | 195K / 13.9 GB | 1 | 1 |
| Smaugv0.1 4.0bpw H6 EXL2 | 60.1 | 195K / 18 GB | 1 | 1 |
| Smaugv0.1 4.65bpw H6 EXL2 | 60.1 | 195K / 20.8 GB | 1 | 1 |
| Smaugv0.1 5.0bpw H6 EXL2 | 60.1 | 195K / 22.3 GB | 1 | 3 |
| Smaugv0.1 6.0bpw H6 EXL2 | 60.1 | 195K / 26.4 GB | 1 | 4 |
| Smaugv0.1 8.0bpw H8 EXL2 | 60.1 | 195K / 34.9 GB | 1 | 1 |
Note: green Score (e.g. "73.2") means that the model is better than NousResearch/Yarn-Llama-2-7b-128k .
Yarn Llama 2 7B 128K Parameters and Internals
| LLM Name | Yarn Llama 2 7B 128K |
| Repository | Open on 🤗 |
| Model Size | 7b |
| Required VRAM | 13.5 GB |
| Updated | 2024-07-01 |
| Maintainer | NousResearch |
| Model Type | llama |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.32.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Beginning of Sentence Token | <s> |
| End of Sentence Token | </s> |
| Unk Token | <unk> |
| Vocabulary Size | 32000 |
| Initializer Range | 0.02 |
| Torch Data Type | bfloat16 |
What open-source LLMs or SLMs are you in search of? 34238 in total.
Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024042801