Updated 1 min ago · first seen 11 Sept 2026
model_01M294YW1RTB7DPG3NE0ZQEHHQ
- Parameters
- 7B
- T2 · 1 min ago
- Released
- 6 Jul 2023
- T2 · 1 min ago
Specification
- Release date
- 6 Jul 2023
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Openness
- open-weights
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Architecture
- InternLMForCausalLM
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Parameters
- 7B
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Hugging Face repo
- internlm/internlm-chat-7b
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Pipeline tag
- text-generation
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Model card
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Downloads
- 27,292
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Likes
- 101
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Gated
- No
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Last modified
- 2024-07-03T06:26:25+00:00
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 30 min agomedium
- Library name
- transformers
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Downloads all time
- 1,023,989
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Model type
- internlm
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
- Tags
- transformers, pytorch, internlm, feature-extraction, text-generation, custom_code
Source:Hugging Face Hub (public pages, model cards, papers)T2observed 1 min agomedium
Each value shows its source, tier and observation time. Conflicting claims are kept side by side and flagged — never averaged. How AI Atlas records facts →
Provenance
Attributed facts
15
Source tiers
T215
Freshest observation
1 min ago
Conflicts
None
Modalities
Modalities unavailable.
Capabilities
Tool calling
Unavailable
Structured output
Unavailable
Reasoning
Unavailable
Vision
Unavailable
Audio
Unavailable
Fine-tuning available
Unavailable
No capability flags have been observed from a source yet — we do not infer them.
No structured attributes yet.
No benchmark results recorded
Current prices
No current prices recorded
Price history
Memory need = bytes per parameter (4-bit ≈ 0.5 × 1.15 overhead, 8-bit 1.0, fp16 2.0) + a KV-cache allowance. Not a measurement.
| Hardware | Quantization | Memory | Est. need | Fits |
|---|---|---|---|---|
| Apple M3 Ultra | 4bit | — | 4.5 GB | Yes |
| AMD Instinct MI325X | 4bit | 256 GB | 4.5 GB | Yes |
| AMD Instinct MI300X | 4bit | 192 GB | 4.5 GB | Yes |
| Apple M2 Ultra | 4bit | — | 4.5 GB | Yes |
| NVIDIA B200 | 4bit | 180 GB | 4.5 GB | Yes |
| NVIDIA H200 | 4bit | 141 GB | 4.5 GB | Yes |
| Apple M1 Ultra | 4bit | — | 4.5 GB | Yes |
| Apple M3 Max | 4bit | — | 4.5 GB | Yes |
| Apple M4 Max | 4bit | — | 4.5 GB | Yes |
| NVIDIA DGX Spark | 4bit | 128 GB | 4.5 GB | Yes |
| Apple M2 Max | 4bit | — | 4.5 GB | Yes |
| NVIDIA A100 80GB | 4bit | 80 GB | 4.5 GB | Yes |
| NVIDIA H100 SXM | 4bit | 80 GB | 4.5 GB | Yes |
| Apple M1 Max | 4bit | — | 4.5 GB | Yes |
| Apple M4 Pro | 4bit | — | 4.5 GB | Yes |
| Apple M3 Pro | 4bit | — | 4.5 GB | Yes |
| Apple M1 Pro | 4bit | — | 4.5 GB | Yes |
| Apple M2 Pro | 4bit | — | 4.5 GB | Yes |
| Apple M4 | 4bit | — | 4.5 GB | Yes |
| NVIDIA GeForce RTX 5090 | 4bit | 32 GB | 4.5 GB | Yes |
| Apple M2 | 4bit | — | 4.5 GB | Yes |
| Apple M3 | 4bit | — | 4.5 GB | Yes |
| NVIDIA GeForce RTX 3090 | 4bit | 24 GB | 4.5 GB | Yes |
| NVIDIA GeForce RTX 4090 | 4bit | 24 GB | 4.5 GB | Yes |
| Apple M1 | 4bit | — | 4.5 GB | Yes |
No lineage recorded
Papers 0
No papers linked yet.
Repositories 0
No repositories linked yet.
As of
Rewind the record: see this entity's attributes exactly as AI Atlas knew them on a given day.
Claim history
Release daterelease_date1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 6 Jul 2023 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Opennessopenness1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| open-weights | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Architecturearchitecture1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| InternLMForCausalLM | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Parametersparameter_count1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 7B | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Hugging Face repohf_repo1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| internlm/internlm-chat-7b | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Pipeline tagpipeline_tag1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| text-generation | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model cardmodel_card_url1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| https://huggingface.co/internlm/internlm-chat-7b | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloadsmetric.downloads1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 27,292 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Likesmetric.likes1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 101 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Gatedgated1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| No | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Last modifiedlast_modified1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 2024-07-03T06:26:25+00:00 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Library namelibrary_name1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| transformers | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Downloads all timemetric.downloads_all_time1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| 1,023,989 | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Model typemodel_type1
| Value | Valid from → to | Status | Source | Confidence | Extractor |
|---|---|---|---|---|---|
| internlm | → current | current | Hugging Face Hub (public pages, model cards, papers)T2 | medium | deterministic |
Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →
New model: internlm-chat-7b (InternLM (Shanghai AI Laboratory))
huggingface
| Source | Document | Type | Tier | Last observed | Snapshots |
|---|---|---|---|---|---|
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/internlm/internlm-chat-7b | model_page | T2· Quality secondary | 1 min ago | 1 |
| Hugging Face Hub (public pages, model cards, papers) | huggingface.co/models?author=internlm&p=0&sort=downloads | listing | T2· Quality secondary | 27 min ago | 2 |
Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.