Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Instruct Llama Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/jan-hq/llama3-s-instruct-v0.3-checkpoint-7000
Llama3 S Instruct V0.3 Checkpoint 7000 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)
Llama3 S Instruct V0.3 Checkpoint 7000 Parameters and Internals
| LLM Name | Llama3 S Instruct V0.3 Checkpoint 7000 |
| Repository 🤗 | https://huggingface.co/jan-hq/llama3-s-instruct-v0.3-checkpoint-7000 |
| Model Size | 8b |
| Required VRAM | 16.1 GB |
| Updated | 2024-10-04 |
| Maintainer | jan-hq |
| Model Type | llama |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | LlamaForCausalLM |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.44.2 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Vocabulary Size | 128771 |
| Torch Data Type | bfloat16 |
Best Alternatives to Llama3 S Instruct V0.3 Checkpoint 7000
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...a 3 8B Instruct Gradient 1048K | 1024K / 16.1 GB | 6623 | 678 |
| Mpasila Viking 8B | 1024K / 16.1 GB | 59 | 0 |
| 16 | 1024K / 16.1 GB | 169 | 0 |
| Because Im Bored Nsfw1 | 1024K / 16.1 GB | 66 | 1 |
| 12 | 1024K / 16.1 GB | 60 | 0 |
| MrRoboto ProLong 8B V4b | 1024K / 16.1 GB | 107 | 0 |
| MrRoboto ProLong 8B V1a | 1024K / 16.1 GB | 108 | 0 |
| MrRoboto ProLong 8B V2a | 1024K / 16.1 GB | 102 | 0 |
| MrRoboto ProLong 8B V4c | 1024K / 16.1 GB | 87 | 0 |
| 8B Unaligned BASE V2b | 1024K / 16.1 GB | 98 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than jan-hq/llama3-s-instruct-v0.3-checkpoint-7000 .
Rank the Llama3 S Instruct V0.3 Checkpoint 7000 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227