Z.ai · Official-source model record
agentlm-7b
agentlm · Version agentlm-7b
Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.
Coverage & sources ↗Current catalog answers
What to know about agentlm-7b
AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.
Which agentlm-7b does this page describe?
agentlm-7b is a model record from Z.ai in the agentlm family. Source
The recorded model identifier or checkpoint is agentlm-7b. Use that exact identifier when checking documentation or a provider listing. Source
How can you access agentlm-7b?
The catalog documents Open weights access for agentlm-7b. Source
As of the catalog check, this version was listed as available. Source
Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement.
What can agentlm-7b receive and generate?
Documented inputs: text. Source
Documented outputs: text. Source
Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation.
What is documented about the agentlm-7b checkpoint?
This evidence refers to zai-org/agentlm-7b at recorded revision 7536176aefa9278d67256cb2f2f7a8557c2fe130, checked October 23, 2026. Repository metadata
Safetensors metadata records 6,740,514,816 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata
Recorded architecture class: LlamaForCausalLM. Repository metadata
Repository task tag: text-generation. A task tag identifies a distribution category; it does not measure performance on that task. Repository metadata
Listed library: transformers. Check that library's version and model support before loading the weights. Repository metadata
Repository access gate: false. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata
What the configuration file says
The pinned config.json contains these values. Pinned configuration
max_position_embeddings- 4,096
torch_dtype- float16
num_attention_heads- 32
num_key_value_heads- 32
num_hidden_layers- 32
hidden_size- 4,096
Configuration values describe the checkpoint and its implementation. In particular, max_position_embeddings, sliding_window and rope_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior.
Read the retrieved model card for setup and qualifications. Model card
Keep the exact version in view
Other agentlm models from Z.ai.
These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.
agentlm-13b
Open weights
agentlm-70b
Open weights
The documented record
Specifications, with their sources.
A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.
- Publisher
- Z.aiSource ↗
- Family
- agentlmSource ↗
- Version
- agentlm-7bSource ↗
- Availability
- AvailableSource ↗
- Access
- Open weightsSource ↗
- Inputs
- TextSource ↗
- Outputs
- TextSource ↗
- Context window
- Not documented
- Maximum input
- Not documented
- Maximum output
- Not documented
- Knowledge cutoff
- Not documented
- Training-data cutoff
- Not documented
- Training completed
- Not documented
- Release date
- Not documented
- License
- Not documented
- Input price / 1M tokens
- Not documented
- Output price / 1M tokens
- Not documented
Read this with the numbers.
Official publisher weight listing; availability refers to this distribution, not a guaranteed hosted API. Base, SFT and research variants are identified by their exact published names. Publisher repository evidence (2026-10-23): Publisher task label: text-generation. Published architecture metadata: LlamaForCausalLM. Repository library label: transformers. Published safetensors metadata counts 6,740,514,816 stored parameters; this is not an active-parameter count for mixture-of-experts models. Published configuration: max_position_embeddings=4096; dtype=float16; 32 hidden layers. Checkpoint configuration is not a verified hosted serving limit; context and output limits remain separate documented fields.
Model identifiers and aliases 1
zai-org/agentlm-7b
Follow the evidence
Official sources.
- agentlm-7b official model card ↗huggingface.co
- agentlm-7b: official publisher repository metadata ↗huggingface.co
- agentlm-7b: publisher model card at revision 7536176aefa9 ↗huggingface.co
- agentlm-7b: published checkpoint configuration at revision 7536176aefa9 ↗huggingface.co