Autotrain compatible Dataset:m-a-p/code-feedback Endpoints compatible Mistral Region:us Safetensors Sharded Tensorflow
Agent 7B V1 128K 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)
Agent 7B V1 128K Parameters and Internals
| LLM Name | Agent 7B V1 128K |
| Repository 🤗 | https://huggingface.co/Vezora/Agent-7b-v1-128k |
| Model Size | 7b |
| Required VRAM | 14.4 GB |
| Updated | 2024-10-30 |
| Maintainer | Vezora |
| Model Type | mistral |
| Model Files | |
| Model Architecture | MistralForCausalLM |
| License | apache-2.0 |
| Context Length | 131072 |
| Model Max Length | 131072 |
| Transformers Version | 4.39.0.dev0 |
| Tokenizer Class | LlamaTokenizer |
| Vocabulary Size | 32002 |
| Torch Data Type | bfloat16 |
Best Alternatives to Agent 7B V1 128K
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Nemo Instruct 2407 Abliterated | 1000K / 24.5 GB | 2708 | 6 |
| MegaBeam Mistral 7B 512K | 512K / 14.4 GB | 3789 | 41 |
| SpydazWeb AI HumanAI RP | 512K / GB | 72 | 1 |
| SpydazWeb AI HumanAI 002 | 512K / GB | 55 | 1 |
| ...daz Web AI ChatML 512K Project | 512K / 14.5 GB | 12 | 0 |
| MegaBeam Mistral 7B 300K | 282K / 14.4 GB | 2206 | 15 |
| Hebrew Mistral 7B 200K | 256K / 30 GB | 3130 | 15 |
| Astral 256K 7B V2 | 250K / 14.4 GB | 10 | 0 |
| Astral 256K 7B | 250K / 14.4 GB | 10 | 0 |
| Boptruth Agatha 7B | 128K / 14.4 GB | 667 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than Vezora/Agent-7b-v1-128k .
Rank the Agent 7B V1 128K Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803